Modern Computer Vision and Image Analysis, 2nd Edition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 102
Special Issue Editors
Interests: neural networks for image processing and pattern recognition; computer-aided diagnosis; image processing suggested by human visual systems
Special Issues, Collections and Topics in MDPI journals
Interests: pattern recognition; image processing; image analysis
Special Issues, Collections and Topics in MDPI journals
Interests: domain adaption; self-supervised learning; continue learning; few-shot learning
Special Issues, Collections and Topics in MDPI journals
Interests: 3D vision; image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of the 1st Edition of this Special Issue (https://www.mdpi.com/journal/electronics/special_issues/3H99332UI5), in this 2nd Edition, we will continue to assist those interested in the topic to promote their vision and ideas.
This Special Issue aims to collect high-quality research papers that learn from limited samples and labeled data, computer vision and image processing applications (such as image classification, object detection, semantic segmentation, instance segmentation, etc.). This Special Issue also aims to publish new ideas, theories, solutions, and insights on this subject and display their relevant applications.
Topics of interest in this Special Issue include, but are not limited to, the following:
- The theory of computer vision and image processing;
- Low-level visual understanding and image processing;
- 3D vision and reconstruction;
- Document analysis and identification;
- Target detection, tracking, and recognition;
- Behavior recognition;
- Multimedia analysis and reasoning;
- Medical image processing and analysis;
- Remote sensing image interpretation;
- Optimization and learning methods;
- Multimodal information processing;
- Performance measurement and benchmark databases;
- Video analysis and understanding;
- Visual application and systems.
Prof. Dr. Zhenghao Shi
Prof. Dr. Lifeng He
Dr. Miaohua Zhang
Prof. Dr. Jihua Zhu
Prof. Dr. Feng Zhao
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- computer vision
- image processing
- deep learning
- medical image processing and analysis
- target detection
- tracking and recognition
- remote sensing image inter-pretation
- video analysis and understanding
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Related Special Issue
- Modern Computer Vision and Image Analysis in Electronics (19 articles)
