Intelligent Computing with Applications in Computer Vision

Dear Colleagues,

Over the last few years, there has been remarkable growth in the effectiveness and influence of computer vision technologies across a multitude of disciplines including biomedical imaging, industrial automation, and healthcare informatics, among others.  However, there are still many significant problems encountered in the research and application of computer vision technology and artificial intelligence. In light of these developments, in this Special Issue, we will compile state-of-the-art research and applied innovations within the realm of computational intelligence, with a particular emphasis on its intersections with image processing and computer vision.  

This collection will delve into a variety of themes, extending beyond the basic to encompass applications of image processing and computer vision methodologies. Areas of interest include (but are not restricted to) the following:

• Image processing
• Neural networks
• Deep learning for efficient detection and segmentation
• Deep learning for medical image analysis
• Industrial applications of AI
• Expert systems integrated with image processing and computer vision
• Multi-modal image analysis
• Deep learning theory and applications
• Supervised/semi-supervised/unsupervised learning
• Emerging trends in explainable AI (XAI)

We also invite authors to submit extended versions of their conference papers to this Special Issue. All papers accepted in this Special Issue will meet our usual high standards for publication in Mathematics.

Dr. Lei Yang
Prof. Dr. En Li
Dr. Fangyuan Li
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. Mathematics 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 2600 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.

• image processing
• computer vision
• neural networks
• machine learning
• deep learning
• artificial intelligence
• computational intelligence

Dear Colleagues,

Over the last few years, there has been remarkable growth in the effectiveness and influence of computer vision technologies across a multitude of disciplines including biomedical imaging, industrial automation, and healthcare informatics, among others. However, there are still many significant problems encountered in the research and application of computer vision technology and artificial intelligence. In light of these developments, in this Special Issue, we will compile state-of-the-art research and applied innovations within the realm of computational intelligence, with a particular emphasis on its intersections with image processing and computer vision. Areas of interest include (but are not restricted to) the following:

Image processing
Neural networks
Deep learning for efficient detection and segmentation
Deep learning for medical image analysis
Industrial applications of AI
Expert systems integrated with image processing and computer vision
Multi-modal image analysis
Deep learning theory and applications
Supervised/semi-supervised/unsupervised learning
Emerging trends in explainable AI (XAI)