image processing research papers 2023

IEEE Account

• Change Username/Password
• Update Address

Purchase Details

• Payment Options
• Order History
• View Purchased Documents

Profile Information

• Communications Preferences
• Profession and Education
• Technical Interests
• US & Canada: +1 800 678 4333
• Worldwide: +1 732 981 0060
• Contact & Support
• About IEEE Xplore
• Accessibility
• Terms of Use
• Nondiscrimination Policy
• Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

• View all journals
• Explore content
• About the journal
• Publish with us
• Sign up for alerts

Image processing articles within Scientific Reports

Article 28 May 2024 | Open Access

Impact of functional electrical stimulation on nerve-damaged muscles by quantifying fat infiltration using deep learning

• Kassandra Walluks
• , Jan-Philipp Praetorius
•  &  Marc Thilo Figge

Article 25 May 2024 | Open Access

An effective ensemble learning approach for classification of glioma grades based on novel MRI features

• Mohammed Falih Hassan
• , Ahmed Naser Al-Zurfi
•  &  Khandakar Ahmed

Deep-learning segmentation to select liver parenchyma for categorizing hepatic steatosis on multinational chest CT

• Zhongyi Zhang
• , Guixia Li
•  &  Xiangchun Liu

Article 24 May 2024 | Open Access

Automated thorax disease diagnosis using multi-branch residual attention network

• Dongfang Li
•  &  Shuya Chen

Article 23 May 2024 | Open Access

Automatic segmentation and classification of frontal sinuses for sex determination from CBCT scans using a two-stage anatomy-guided attention network

• Renan Lucio Berbel da Silva
•  &  Won-Jin Yi

Classification and identification of tea diseases based on improved YOLOv7 model of MobileNeXt

• , Wenxia Yuan
•  &  Baijuan Wang

Article 22 May 2024 | Open Access

Polyp segmentation based on implicit edge-guided cross-layer fusion networks

• Junqing Liu
• , Weiwei Zhang
•  &  Qinghe Zhang

A bi-directional segmentation method for prostate ultrasound images under semantic constraints

•  &  Chao Gao

A novel plant type, leaf disease and severity identification framework using CNN and transformer with multi-label method

• , Mingwei Li
•  &  Jianwu Wang

Article 21 May 2024 | Open Access

Bayesian decision based fusion algorithm for remote sensing images

• , Xunyan Jiang
•  &  Kai Liu

Applying oversampling before cross-validation will lead to high bias in radiomics

• Aydin Demircioğlu

Svetlana a supervised segmentation classifier for Napari

• Clément Cazorla
• , Renaud Morin
•  &  Pierre Weiss

Article 11 May 2024 | Open Access

Deep learning segmentation of non-perfusion area from color fundus images and AI-generated fluorescein angiography

• Kanato Masayoshi
• , Yusaku Katada
•  &  Toshihide Kurihara

Shifting to machine supervision: annotation-efficient semi and self-supervised learning for automatic medical image segmentation and classification

• Pranav Singh
• , Raviteja Chukkapalli
•  &  Jacopo Cirrone

Article 09 May 2024 | Open Access

A dual-branch selective attention capsule network for classifying kiwifruit soft rot with hyperspectral images

• Zhiqiang Guo
• , Yingfang Ni
•  &  Yunliu Zeng

Article 07 May 2024 | Open Access

Long-term stimulation by implanted pacemaker enables non-atrophic treatment of bilateral vocal fold paresis in a human-like animal model

• , Bianca Hoffmann
•  &  Dirk Arnold

Article 30 April 2024 | Open Access

Segmentation of liver CT images based on weighted medical transformer model

• , Hai Zhang
•  &  Rui Wang

Article 24 April 2024 | Open Access

MRI radiomics in head and neck cancer from reproducibility to combined approaches

• , Stefano Cavalieri
•  &  Luca Mainardi

Article 22 April 2024 | Open Access

A comparative analysis of pairwise image stitching techniques for microscopy images

• Fatemeh Sadat Mohammadi
• , Seyyed Erfan Mohammadi
•  &  Hasti Shabani

Article 19 April 2024 | Open Access

Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence

• Thomas Louis
• , François Lucia
•  &  Roland Hustinx

Article 18 April 2024 | Open Access

Joint transformer architecture in brain 3D MRI classification: its application in Alzheimer’s disease classification

• , Taymaz Akan
•  &  Mohammad A. N. Bhuiyan

Article 16 April 2024 | Open Access

Automated quantification of avian influenza virus antigen in different organs

• Maria Landmann
• , David Scheibner
•  &  Reiner Ulrich

Article 08 April 2024 | Open Access

A novel vector field analysis for quantitative structure changes after macular epiretinal membrane surgery

• Seok Hyun Bae
• , Sojung Go
•  &  Sang Jun Park

Article 05 April 2024 | Open Access

Advanced disk herniation computer aided diagnosis system

• Maad Ebrahim
• , Mohammad Alsmirat
•  &  Mahmoud Al-Ayyoub

Article 28 March 2024 | Open Access

Brain temperature and free water increases after mild COVID-19 infection

• Ayushe A. Sharma
• , Rodolphe Nenert
•  &  Jerzy P. Szaflarski

Article 26 March 2024 | Open Access

High-capacity data hiding for medical images based on the mask-RCNN model

• Hadjer Saidi
• , Okba Tibermacine
•  &  Ahmed Elhadad

Article 25 March 2024 | Open Access

Integrated image and location analysis for wound classification: a deep learning approach

• , Tirth Shah
•  &  Zeyun Yu

Article 21 March 2024 | Open Access

A number sense as an emergent property of the manipulating brain

• Neehar Kondapaneni
•  &  Pietro Perona

Article 16 March 2024 | Open Access

Lesion-conditioning of synthetic MRI-derived subtraction-MIPs of the breast using a latent diffusion model

• Lorenz A. Kapsner
• , Lukas Folle
•  &  Sebastian Bickelhaupt

Article 14 March 2024 | Open Access

Dual ensemble system for polyp segmentation with submodels adaptive selection ensemble

• , Kefeng Fan
•  &  Kaijie Jiao

Article 11 March 2024 | Open Access

Generalizable disease detection using model ensemble on chest X-ray images

• Maider Abad
• , Jordi Casas-Roma
•  &  Ferran Prados

Article 08 March 2024 | Open Access

Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio

• Patrick Thiam
• , Christopher Kloth
•  &  Hans A. Kestler

Article 05 March 2024 | Open Access

Brain volume measured by synthetic magnetic resonance imaging in adult moyamoya disease correlates with cerebral blood flow and brain function

• Kazufumi Kikuchi
• , Osamu Togao
•  &  Kousei Ishigami

Article 04 March 2024 | Open Access

Critical evaluation of artificial intelligence as a digital twin of pathologists for prostate cancer pathology

• Okyaz Eminaga
• , Mahmoud Abbas
•  &  Olaf Bettendorf

Computational pathology model to assess acute and chronic transformations of the tubulointerstitial compartment in renal allograft biopsies

• Renaldas Augulis
• , Allan Rasmusson
•  &  Arvydas Laurinavicius

Opportunistic screening with multiphase contrast-enhanced dual-layer spectral CT for osteoblastic lesions in prostate cancer compared with bone scintigraphy

• Ming-Cheng Liu
• , Chi-Chang Ho
•  &  Yi-Jui Liu

Article 02 March 2024 | Open Access

Reduction of NIFTI files storage and compression to facilitate telemedicine services based on quantization hiding of downsampling approach

• Ahmed Elhadad
• , Mona Jamjoom
•  &  Hussein Abulkasim

Article 29 February 2024 | Open Access

Attention-guided jaw bone lesion diagnosis in panoramic radiography using minimal labeling effort

• Minseon Gwak
• , Jong Pil Yun
•  &  Chena Lee

End-to-end multimodal 3D imaging and machine learning workflow for non-destructive phenotyping of grapevine trunk internal structure

• Romain Fernandez
• , Loïc Le Cunff
•  &  Cédric Moisy

Article 27 February 2024 | Open Access

An improved V-Net lung nodule segmentation model based on pixel threshold separation and attention mechanism

• , Handing Song
•  &  Zhan Wang

Article 26 February 2024 | Open Access

Quantifying mangrove carbon assimilation rates using UAV imagery

• Javier Blanco-Sacristán
• , Kasper Johansen
•  &  Matthew F. McCabe

Article 24 February 2024 | Open Access

Iterative pseudo balancing for stem cell microscopy image classification

• Adam Witmer
•  &  Bir Bhanu

Article 22 February 2024 | Open Access

Deep learning-based, fully automated, pediatric brain segmentation

• Min-Jee Kim
• , EunPyeong Hong
•  &  Tae-Sung Ko

Article 21 February 2024 | Open Access

Correction of high-rate motion for photoacoustic microscopy by orthogonal cross-correlation

• , Qiuqin Mao
•  &  Xiaojun Liu

Article 20 February 2024 | Open Access

ERCP-Net: a channel extension residual structure and adaptive channel attention mechanism for plant leaf disease classification network

•  &  Yannan Xu

A quality grade classification method for fresh tea leaves based on an improved YOLOv8x-SPPCSPC-CBAM model

• Xiu’yan Zhao
• , Yu’xiang He
•  &  Kai’xing Zhang

Article 16 February 2024 | Open Access

Stripe noise removal in conductive atomic force microscopy

• , Jan Rieck
•  &  Michael H. F. Wilkinson

Article 13 February 2024 | Open Access

Automatic enhancement preprocessing for segmentation of low quality cell images

•  &  Kazuhiro Hotta

Article 09 February 2024 | Open Access

An artificial intelligence based abdominal aortic aneurysm prognosis classifier to predict patient outcomes

• Timothy K. Chung
• , Pete H. Gueldner
•  &  David A. Vorp

Article 08 February 2024 | Open Access

Application of PET imaging delta radiomics for predicting progression-free survival in rare high-grade glioma

• Shamimeh Ahrari
• , Timothée Zaragori
•  &  Antoine Verger

Browse broader subjects

• Computational biology and bioinformatics

Quick links

• Explore articles by subject
• Guide to authors
• Editorial policies

2023 IEEE International Conference on Image Processing

• Organizing Committee
• Award Winners
• Conference Policies
• Editorial Policies
• Plenary Speakers
• Lecture Presentation Instructions
• E-Poster Presentation Instructions
• Video Preparation and Upload
• Author Invitation Letter Request
• Publishing and Paper Presentation Options
• Submit a Paper to the ICIP Review Track
• Submit a Paper to the OJSP Review Track
• Request ICIP Presentation of an SPS Journal Paper
• Important Dates
• Call for papers
• Call for Challenge Proposal
• Call for Special Session Proposal
• Call for Tutorials and Short Courses
• Call for Industry Demonstrations
• Call for Industry Expert Session
• Call for Satellite Workshops
• Registration
• Registration Desk
• Attendee Invitation Letter Request
• Link Paper to Registration
• Program at a Glance
• Technical Program
• Industry Program
• Paper Search
• Welcome Reception
• Conference Banquet
• Short Courses
• Challenge Sessions
• Special Sessions
• Women in Signal Processing Luncheon
• Author Ethics and IEEE New Author Tools Workshop
• Young Professionals Networking
• Student Job Fair and Luncheon
• 5-Minute Video Clip Contest
• PROGRESS Workshop
• SPS 75th Anniversary
• Micro Mentoring Experience (MiME)
• Industry Keynote Speeches
• Industry Innovation Forums
• Industry Expert Sessions
• Industry Workshops
• Industry Seminars
• Industry Demonstrations
• MDI Session
• Closing Ceremony
• Hotel Information
• Travel Information
• Become an ICIP Patron/Exhibitor
• Patrons and Exhibitors
• Day 1 Photos
• Day 2 Photos
• Day 3 Photos
• Day 4 Photos

Call For Papers

Please see important dates HERE

Topics of interest include but are not limited to:

• Sensing, Representation, Modeling, and Registration
• Motion Estimation, Registration, and Fusion
• Synthesis, Rendering, and Visualization
• Deep Learning for Images and Videos
• Computational Imaging
• Learning with Limited Labels
• Restoration and Enhancement
• Image & Video Interpretation and Understanding
• Compression, Coding, and Transmission
• Detection, Recognition, Retrieval, and Classification
• Color, Multi-spectral, and Hyper-spectral Imaging
• Biometrics, Forensics, and Security
• Stereoscopic, Multi-view, and 3D Processing
• Biomedical and Biological Image Processing
• Image & Video Quality Models
• Emerging Applications and Systems

Regular ICIP Paper Submission

Authors are invited to submit full-length papers (up to 4 pages for technical content including figures and references, and one optional 5th page containing only references). Submission instructions, templates for paper format, and the “no show” policy are available at the conference website here . All accepted papers will be published in IEEE Xplore.

In order to submit a paper using the regular ICIP Review System, please use this link or select “Submit a paper” in the navigation menu above.

Open Journal of Signal Processing (OJSP) Paper Submission

For the first time at ICIP, authors are invited to submit their papers, aligned with the conference scope and intended for presentation at ICIP, to the IEEE Open Journal of Signal Processing (OJSP). These papers may be up to 8 pages + 1 page for references, and their review will be managed by the editorial board of OJSP, expedited to ensure that a decision is made prior to finalization of the ICIP technical program. Accepted papers will be published in OJSP and will also be scheduled for presentation at ICIP. Submission implies a commitment that an author will attend the conference to present the paper at ICIP if it is accepted.

Acceptance of submissions to OJSP under this “expedited review for ICIP” program may close early if demand is unexpectedly heavy.

In order to submit a paper using the OJSP system, please proceed to How to submit a paper to the OJSP Review Track.

Journal Paper Presentation

Authors of papers published in all IEEE Signal Processing Society fully owned journals as well as in IEEE TCI, IEEE Signal Processing Letters, IEEE TIP, IEEE TMI, IEEE TM, IEEE TIFS, IEEE TSP, IEEE Journal on STSP, and IEEE SPM within the past year, can submit their journal paper for presentation during ICIP 2023.

Tutorials, Special Sessions, and Challenge Sessions Proposal s

Tutorials will be held on October 8, 2023. Tutorial proposals must include a title, outline, description of the materials to be covered/distributed, and the contact information, biography and selected publications of the presenter(s). Special sessions and challenge sessions proposals must include a topical title, rationale, session outline, contact information, and a list of invited papers/participants.

Open Preview

Open Preview allows conference proceedings to be available in the IEEE Xplore Digital Library, free of charge, to all customers, 30 days prior to the conference start date, through the conference end date.

Author Rebuttal

At the discretion of the Area Chairs, some authors may be asked for a rebuttal of the reviews received

The PDF version of the ICIP 2023 Call for Papers may be downloaded here .

• Reference Manager
• Simple TEXT file

People also looked at

Editorial article, editorial: current trends in image processing and pattern recognition.

• PAMI Research Lab, Computer Science, University of South Dakota, Vermillion, SD, United States

Editorial on the Research Topic Current Trends in Image Processing and Pattern Recognition

Technological advancements in computing multiple opportunities in a wide variety of fields that range from document analysis ( Santosh, 2018 ), biomedical and healthcare informatics ( Santosh et al., 2019 ; Santosh et al., 2021 ; Santosh and Gaur, 2021 ; Santosh and Joshi, 2021 ), and biometrics to intelligent language processing. These applications primarily leverage AI tools and/or techniques, where topics such as image processing, signal and pattern recognition, machine learning and computer vision are considered.

With this theme, we opened a call for papers on Current Trends in Image Processing & Pattern Recognition that exactly followed third International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), 2020 (URL: http://rtip2r-conference.org ). Our call was not limited to RTIP2R 2020, it was open to all. Altogether, 12 papers were submitted and seven of them were accepted for publication.

In Deshpande et al. , authors addressed the use of global fingerprint features (e.g., ridge flow, frequency, and other interest/key points) for matching. With Convolution Neural Network (CNN) matching model, which they called “Combination of Nearest-Neighbor Arrangement Indexing (CNNAI),” on datasets: FVC2004 and NIST SD27, their highest rank-I identification rate of 84.5% was achieved. Authors claimed that their results can be compared with the state-of-the-art algorithms and their approach was robust to rotation and scale. Similarly, in Deshpande et al. , using the exact same datasets, exact same set of authors addressed the importance of minutiae extraction and matching by taking into low quality latent fingerprint images. Their minutiae extraction technique showed remarkable improvement in their results. As claimed by the authors, their results were comparable to state-of-the-art systems.

In Gornale et al. , authors extracted distinguishing features that were geometrically distorted or transformed by taking Hu’s Invariant Moments into account. With this, authors focused on early detection and gradation of Knee Osteoarthritis, and they claimed that their results were validated by ortho surgeons and rheumatologists.

In Tamilmathi and Chithra , authors introduced a new deep learned quantization-based coding for 3D airborne LiDAR point cloud image. In their experimental results, authors showed that their model compressed an image into constant 16-bits of data and decompressed with approximately 160 dB of PSNR value, 174.46 s execution time with 0.6 s execution speed per instruction. Authors claimed that their method can be compared with previous algorithms/techniques in case we consider the following factors: space and time.

In Tamilmathi and Chithra , authors carefully inspected possible signs of plant leaf diseases. They employed the concept of feature learning and observed the correlation and/or similarity between symptoms that are related to diseases, so their disease identification is possible.

In Das Chagas Silva Araujo et al. , authors proposed a benchmark environment to compare multiple algorithms when one needs to deal with depth reconstruction from two-event based sensors. In their evaluation, a stereo matching algorithm was implemented, and multiple experiments were done with multiple camera settings as well as parameters. Authors claimed that this work could be considered as a benchmark when we consider robust evaluation of the multitude of new techniques under the scope of event-based stereo vision.

In Steffen et al. ; Gornale et al. , authors employed handwritten signature to better understand the behavioral biometric trait for document authentication/verification, such letters, contracts, and wills. They used handcrafter features such as LBP and HOG to extract features from 4,790 signatures so shallow learning can efficiently be applied. Using k-NN, decision tree and support vector machine classifiers, they reported promising performance.

Author Contributions

The author confirms being the sole contributor of this work and has approved it for publication.

Conflict of Interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Santosh, KC, Antani, S., Guru, D. S., and Dey, N. (2019). Medical Imaging Artificial Intelligence, Image Recognition, and Machine Learning Techniques . United States: CRC Press . ISBN: 9780429029417. doi:10.1201/9780429029417

CrossRef Full Text | Google Scholar

Santosh, KC, Das, N., and Ghosh, S. (2021). Deep Learning Models for Medical Imaging, Primers in Biomedical Imaging Devices and Systems . United States: Elsevier . eBook ISBN: 9780128236505.

Google Scholar

Santosh, KC (2018). Document Image Analysis - Current Trends and Challenges in Graphics Recognition . United States: Springer . ISBN 978-981-13-2338-6. doi:10.1007/978-981-13-2339-3

Santosh, KC, and Gaur, L. (2021). Artificial Intelligence and Machine Learning in Public Healthcare: Opportunities and Societal Impact . Spain: SpringerBriefs in Computational Intelligence Series . ISBN: 978-981-16-6768-8. doi:10.1007/978-981-16-6768-8

Santosh, KC, and Joshi, A. (2021). COVID-19: Prediction, Decision-Making, and its Impacts, Book Series in Lecture Notes on Data Engineering and Communications Technologies . United States: Springer Nature . ISBN: 978-981-15-9682-7. doi:10.1007/978-981-15-9682-7

Keywords: artificial intelligence, computer vision, machine learning, image processing, signal processing, pattern recocgnition

Citation: Santosh KC (2021) Editorial: Current Trends in Image Processing and Pattern Recognition. Front. Robot. AI 8:785075. doi: 10.3389/frobt.2021.785075

Received: 28 September 2021; Accepted: 06 October 2021; Published: 09 December 2021.

Edited and reviewed by:

Copyright © 2021 Santosh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: KC Santosh, [email protected]

This article is part of the Research Topic

Current Trends in Image Processing and Pattern Recognition

6th International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R)

December 07-08, 2023, university in derby, england (uk), ... in collaboration with 2ai: applied ai research lab , usd (usa).

• Registration
• Special track

Important dates

Full paper submission: july 15 august 15 august 31, 2023 notification (sent to authors): august 31 september 15 october 10, 2023 registration: august 15 september 15 september 30 october 10 october 20, 2023 camera ready submission: august 31 september 30 october 15 october 30, 2023, publications, conference proceedings: ccis, springer nature indexing: dblp, ei compendex, inspec, scimago, scopus, zbmath, and many other databases, journal publications (special issue): ijprai , electronics, keynote speakers, girijesh prasad, phd professor school of computing, engineering and intelligent systems ulster university (uu), uk., workshop speakers, kc santosh, phd chair, department of computer science university of south dakota (usa), wajahat ali khan, phd associate professor university of derby (uk), vinaytosh mishra , phd associate professor college of healthcare management and economic gulf medical university, ajman (uae), dr mabrouka abuhmida , phd research and innovation group leader university of south wales (uk), previous publications, 2022 (conference proceedings): ccis, springer : vol. 1704 2021 (conference proceedings): ccis, springer : vol. 1576 2020 (conference proceedings): ccis, springer : vol. 1380 , vol. 1381 2018 (journal issue): vol. 79 issue 47 mtap, springer nature (2020) 2018 (conference proceedings): ccis, springer : vol. 1035 , vol. 1036 , and vol. 1037 (2019) 2016 (journal issue): vol. 7, issue 2, ijcvip, igi global (2017) 2016 (conference proceedings): ccis, springer , vol. 709 (2017), would you like to join us (e.g., technical program committee) do not hesitate to contact us (general and program chairs), total page visits.

Program schedule: PDF

Accomodation.

To facilitate the booking process for conference attendees, they can make reservations directly through the following link and use the postcode DE1 3LD (Enterprise Centre) to find nearby accommodation. Link for Booking T his convenient option allows attendees to quickly access information and book accommodations that best suit their needs. Kindly contact Muntazir Mehdi (local organiser) at [email protected] or +44-7762253211 , if you have any questions or concerns related to accommodation during conference.

Conference Venue and Presentation Sessions

As the RTIP2R 2023 Conference approaches, we are reaching out to kindly inform you about the conference venue and presentation sessions schedule.Each author presentation is allocated 10 minutes in total, with 8 minutes for the main content and 2 minutes dedicated to Q&A. The authors who will be presenting in-person are requested to submit their presentation slides to the conference at [email protected] In-person presentation: Venue: Conference room: G11, G12, Enterprise Centre, Bridge St, Derby, DE1 3LD Presentation duration: 10 minutes Q/A: 2 minutes Session: Available in program schedule Online presentation: Venue: Microsoft Teams link below. Presentation duration: 8 minutes Q/A: 2 minutes Session: Available in program schedule 7th December: G11- Main hall: 10am-3pm (session 1, session 2) Meeting ID: 313 318 656 333 Passcode: 5Xh6QB 3pm-6pm (session 3, session 5) Meeting ID: 332 759 420 087 Passcode: uLtNqV G13- 3pm-6pm (session 4, session 6) Meeting ID: 367 091 083 468 Passcode: iGYUWB 8th December: G11- Main hall: 10am-2:30pm (workshop + session 7) Meeting ID: 323 565 100 074 Passcode: Ey8Zhz 2:30pm - 6:30pm (session 8, session 10) Meeting ID: 311 148 200 419 Passcode: 8CHeMS G13- 2:30 pm- 6:30pm (session 9, session 11) Meeting ID: 392 506 549 396 Passcode: nXQN7j Announcement Following events, best paper awards, and many more. Concluding remarks 6pm- 7pm Meeting ID: 330 620 894 679 Passcode: MYe6k6 As the conference is taking place in the UK, all scheduled times will be in the UK time zone, GMT. Your presentation will contribute significantly to the enriching discussions and knowledge exchange at RTIP2R 2023. We expect engaging content that highlights your research and insights within the time limit provided.

Welcome to the RTIP2R 2023

Topics of interest include, but are not limited to.

    • Signal, image processing, and machine learning : Signal processing, image analysis fundamentals, algorithms, clustering and classification, model selection (ma chine learning), feature engineering, federated learning, and shallow as well as deep learning.     • Computer vision & pattern recognition : Object detection and/or recognition (shape, color and texture analysis) and pattern recognition (statistical, structural, and syntactic methods).     • Machine learning : Algorithms, clustering and classification, model selection (ma chine learning), feature engineering, deep learning, and federated Learning (applications and challenges).     • Data science/analytics : Data mining tools, high-performance computing in big data. Link to all the special tracks is here .

Journal publications (special issue)

    • Explainable and/or Interpretable AI for Biomedical and Health Informatics, International Journal of Pattern Recognition & Artificial Intelligence ( IJPRAI ) ( Download file ).     • Recent Trends in Image Processing and Pattern Recognition, Electronics - Computer Science & Engineering section, MDPI. ( electronics ) ( Download file ).

Competitions

Fractured bone detection challenge.

The goal of this challenge is to identify fractured bone in limbs using CT scans. We offer a collection of 5567 clinically annotated anonymized CT-Scan Slices, obtained from multiple hospitals. This dataset includes a total of 24 CT scans, each containing approximately 200-300 slices. The scans cover both the upper and lower limbs. To participate and know more about the competition please register through this link. You will get an invite link for a Kaggle competition after you register. Important note. Winners will receive conference registration fees and will be invited to present their papers during the conference. In addition, papers will be selected for a possible publicaiton in a journal issue (SCI indexed). Competition deadline: 10/15/2023 11:59 PM (UTC)

Paper submission

Papers are expected to be within the 8-15 page range. The review process takes into account both the quality in writing and the scientific impact of the work. Authors should clearly identify the problem, their contribution(s), justification with respect to the state-of-the-art works. The program committee would like to review those, who develop, argue, and provide results. We recommend using the LaTeX template for preparing submissions. Please follow the template for preparing a conference paper CCIS, Springer Nature and Overleaf . Submissions should be made through the RTIP2R 2023 Microsoft CMT webpage: https://cmt3.research.microsoft.com/RTIP2R2023

Outstanding PhD dissertation award

Submit your nominations to [email protected] and [email protected] with the subject line RTIP2R2023: Best PhD Dissertation Award Nomination. The submission deadline is July 31, 2023 (all time zones). Please check this file for further details: Download the pdf .

General chairs

KC Santosh, PAMI - Computer Science, University of South Dakota Ayush Goyal, Texas A&M University - Kingsville

Research on Image Processing Technology Based on Artificial Intelligence Algorithm

• Conference paper
• First Online: 09 April 2023
• Cite this conference paper

• Jiaqi Xu 5  

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 156))

Included in the following conference series:

• International Conference on Cognitive based Information Processing and Applications

324 Accesses

Artificial intelligence algorithm can optimize the traditional image processing technology, so that the technology can give more accurate and high-quality results. This paper mainly introduces the basic concept of artificial intelligence algorithm and its application advantages in image processing and then establishes the artificial intelligence image processing technology system. The research proves that the image processing technology supported by artificial intelligence algorithm can give higher quality results, indicating that the algorithm has higher application value in image processing.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Available as EPUB and PDF
• Compact, lightweight edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Image Recognition Technology Based on Artificial Intelligence

Research on Image Processing Method and Image Classification Model Based on Artificial Intelligence

Image Processing: What, How and Future

Yan X (2021) Research on graphic design image processing technology based on reference relation. J Phys: Conf Ser 1982(1):012209(7pp)

Google Scholar  

Xi E, Zhang J (2021) Research on image deblurring processing technology based on genetic algorithm. J Phys: Conf Ser 1852(2):022042

Shan P, Sun W (2021) Research on landscape design system based on 3D virtual reality and image processing technology. Eco Inform 9:101287

Article   Google Scholar  

Zhang X, Jiang J (2021) Research on frame design of sports image analysis system based on feature extraction algorithm

Chang J, Li Y, Zheng H (2021) Research on key algorithms of the lung CAD system based on cascade feature and hybrid swarm intelligence optimization for MKL-SVM. Comput Intell Neurosci 2021(4):1–16

Wang S, Xu G (2021) Research on traveling wave fault technology based on ground potential. AIP Adv 11

Liu MZ, Xu X, Hu J et al (2022) Real time detection of driver fatigue based on CNN-LSTM. IET Image Process 16

Gao B (2022) Research and implementation of intelligent evaluation system of teaching quality in universities based on artificial intelligence neural network model. Math Probl Eng 2022

Lin R, Wang L, Xia T (2021) Research on image super-resolution technology based on sparse constraint SegNet network. J Phys: Conf Ser 1952(2):022005

Huang M, Liu D (2021) Research on vehicle control system of construction machinery based on machine vision. J Phys: Conf Ser 1982(1):012002

Download references

Author information

Authors and affiliations.

Guangxi University, Nanning, 530004, Guangx, China

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Jiaqi Xu .

Editor information

Editors and affiliations.

Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar

Bernard J. Jansen

School of Economics and Management, Changzhou Institute of Mechatronic Technology, Changzhou, China

Qingyuan Zhou

School of Computer Science and Cyberspace Security, Hainan University, Haikou, Hainan, China

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper.

Xu, J. (2023). Research on Image Processing Technology Based on Artificial Intelligence Algorithm. In: Jansen, B.J., Zhou, Q., Ye, J. (eds) Proceedings of the 2nd International Conference on Cognitive Based Information Processing and Applications (CIPA 2022). CIPA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 156. Springer, Singapore. https://doi.org/10.1007/978-981-19-9376-3_72

Download citation

DOI : https://doi.org/10.1007/978-981-19-9376-3_72

Published : 09 April 2023

Publisher Name : Springer, Singapore

Print ISBN : 978-981-19-9375-6

Online ISBN : 978-981-19-9376-3

eBook Packages : Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0)

Share this paper

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

• Events Home
• Event Resources
• Become an Exhibitor
• SPIE Conferences App
• SPIE Event Policies
• SPIE Official Contractors
• Press Registration
• Events Calendar
• All Upcoming Events
• Conferences
• Exhibitions
• SPIE.Online
• Upcoming Webinars
• Recorded Webinars
• Featured Exhibitions
• Photonics West
• AR | VR | MR
• Advanced Lithography + Patterning
• Defense + Commercial Sensing
• Astronomical Telescopes + Instrumentation
• Optics + Photonics
• Sensors + Imaging
• For Authors + Volunteers
• Manuscript Guidelines and Policies
• Poster Presentation Guidelines
• Event Volunteer Guidelines
• Resources for Conference Chairs
• SPIE Program Coordinators Contacts
• Publications Home
• Publication Resources
• Terms of Use
• Reprint Permission
• Contact SPIE Publications
• SPIE Digital Library
• SPIE Bookstore
• Proceedings
• Apparel and Gifts
• SPIE Journals
• Institutional Subscriptions
• Individual Subscriptions
• Conference Proceedings
• Conference Content Publication Services
• SPIE Press Books
• Book Author Information
• Book Manuscript Guidelines
• Submit a Book Proposal
• Spotlights Call for Authors
• Field Guide Author Guidelines
• Membership Home
• Member Benefits
• Join or Renew
• SPIE Fellows
• List of all SPIE Fellows
• Nominate a Fellow
• SPIE Senior Members
• List of all Senior Members
• Nominate a Senior Member
• Student Membership
• Student Chapters
• Student Awards
• Student Resources
• SPIE Profiles
• Corporate Membership
• Corporate Member Benefits
• Corporate Member Directory
• Career + Courses Home
• Career Center
• Career Center FAQs
• SPIE Job Fairs
• Career Resources
• Find a Course
• Courses at Conferences
• Online Courses
• Group Training
• Instructional Webinar Series
• Teach a Course for SPIE
• Technician Resources
• Photonics Technician Program
• Technician Training Programs
• Technician Scholarship
• OP-TEC Course Materials
• Community Support Home
• Equity, Diversity, + Inclusion
• Family Care Grants
• EDI Resources
• Women in Optics
• SPIE Society Awards
• Award Nomination Guide
• Research + Program Funding
• SPIE Endowment Matching Program
• SPIE-Franz Hillenkamp Postdoctoral Fellowship
• Berns-SPIE SPARK Grants
• IBM SPIE HBCU Faculty Accelerator Award
• Student Funding
• Scholarships
• Student Conference Support
• Industry Resources
• Global Industry Report
• Global Salary Report
• Global Partners + Industry Clusters
• Education Outreach Resources
• Outreach Grants
• Advocacy and Public Policy
• Chips for America Act
• Congressional Fellowship
• Policy Position Statements
• Visit and Contact US Congress
• International Day of Light
• IDL Photo Contest
• IDL Resources
• International Year of Light
• Community News
• SPIE Event News
• SPIE Publication News
• SPIE Press Releases
• Photonics Focus
• About SPIE Home
• About the Society
• Mission and Vision
• Officers and Directors
• Past Officers and Directors
• SPIE Brand and Logos
• Jobs at SPIE
• Code of Conduct
• Policies and Reporting
• Sign in
• Explore SPIE websites:

Medical Imaging 2023: Image Processing

Volume Details

Table of contents.

• Front Matter: Volume 12464
• Registration and Deformable Geometry
• Classification and Segmentation
• Cardiovascular Applications
• Tuesday Morning Keynotes
• Image Synthesis and Generative Models
• Workshop on AI Using Large-Scale Data Warehouses
• Brain Applications
• Image Quality, Harmonization, and Quantitative Analysis
• Deep-Dive Session
• Transformers
• Image Reconstruction, Correction, and Quality
• Segmentation
• Poster Session
• Digital Poster Session

digital image processing Recently Published Documents

Total documents.

• Latest Documents
• Most Cited Documents
• Contributed Authors
• Related Sources
• Related Keywords

Developing Digital Photomicroscopy

(1) The need for efficient ways of recording and presenting multicolour immunohistochemistry images in a pioneering laboratory developing new techniques motivated a move away from photography to electronic and ultimately digital photomicroscopy. (2) Initially broadcast quality analogue cameras were used in the absence of practical digital cameras. This allowed the development of digital image processing, storage and presentation. (3) As early adopters of digital cameras, their advantages and limitations were recognised in implementation. (4) The adoption of immunofluorescence for multiprobe detection prompted further developments, particularly a critical approach to probe colocalization. (5) Subsequently, whole-slide scanning was implemented, greatly enhancing histology for diagnosis, research and teaching.

Parallel Algorithm of Digital Image Processing Based on GPU

Quantitative identification cracks of heritage rock based on digital image technology.

Abstract Digital image processing technologies are used to extract and evaluate the cracks of heritage rock in this paper. Firstly, the image needs to go through a series of image preprocessing operations such as graying, enhancement, filtering and binaryzation to filter out a large part of the noise. Then, in order to achieve the requirements of accurately extracting the crack area, the image is again divided into the crack area and morphological filtering. After evaluation, the obtained fracture area can provide data support for the restoration and protection of heritage rock. In this paper, the cracks of heritage rock are extracted in three different locations.The results show that the three groups of rock fractures have different effects on the rocks, but they all need to be repaired to maintain the appearance of the heritage rock.

Determination of Optical Rotation Based on Liquid Crystal Polymer Vortex Retarder and Digital Image Processing

Discussion on curriculum reform of digital image processing under the certification of engineering education, influence and application of digital image processing technology on oil painting creation in the era of big data, geometric correction analysis of highly distortion of near equatorial satellite images using remote sensing and digital image processing techniques, color enhancement of low illumination garden landscape images.

The unfavorable shooting environment severely hinders the acquisition of actual landscape information in garden landscape design. Low quality, low illumination garden landscape images (GLIs) can be enhanced through advanced digital image processing. However, the current color enhancement models have poor applicability. When the environment changes, these models are easy to lose image details, and perform with a low robustness. Therefore, this paper tries to enhance the color of low illumination GLIs. Specifically, the color restoration of GLIs was realized based on modified dynamic threshold. After color correction, the low illumination GLI were restored and enhanced by a self-designed convolutional neural network (CNN). In this way, the authors achieved ideal effects of color restoration and clarity enhancement, while solving the difficulty of manual feature design in landscape design renderings. Finally, experiments were carried out to verify the feasibility and effectiveness of the proposed image color enhancement approach.

Discovery of EDA-Complex Photocatalyzed Reactions Using Multidimensional Image Processing: Iminophosphorane Synthesis as a Case Study

Abstract Herein, we report a multidimensional screening strategy for the discovery of EDA-complex photocatalyzed reactions using only photographic devices (webcam, cellphone) and TLC analysis. An algorithm was designed to identify automatically EDA-complex reactive mixtures in solution from digital image processing in a 96-wells microplate and by TLC-analysis. The code highlights the region of absorption of the mixture in the visible spectrum, and the quantity of the color change through grayscale values. Furthermore, the code identifies automatically the blurs on the TLC plate and classifies the mixture as colorimetric reactions, non-reactive or potentially reactive EDA mixtures. This strategy allowed us to discover and then optimize a new EDA-mediated approach for obtaining iminophosphoranes in up to 90% yield.

Mangosteen Quality Grading for Export Markets Using Digital Image Processing Techniques

Export citation format, share document.