Machine Learning with Applications to Image Process and Computer Vision
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 15 July 2026 | Viewed by 41
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue focuses on recent advances and practical applications of machine learning in image processing and computer vision. With the growing availability of visual data and the rapid evolution of learning algorithms, machine learning has become a key enabler for solving complex visual tasks such as image enhancement, segmentation, recognition, detection, and scene understanding. Progress in areas such as deep learning, optimization methods, and evolutionary techniques has further enhanced the capacity of computers to interpret and analyze images and video content. As the field continues to mature, bridging theoretical innovation with practical implementation is becoming increasingly important.
We aim to highlight research that explores and advances the use of machine learning techniques in image processing and computer vision applications. Submissions that present innovative models, efficient algorithms, or interdisciplinary applications are particularly encouraged.
We welcome high-quality contributions in the form of original research articles, review papers, or case studies that reflect the current trends and future directions of machine learning for visual data.
Dr. Chenyang Wang
Guest Editor
Manuscript Submission Information
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Keywords
- deep learning
- machine learning
- computer vision
- image processing
- optimization theory
- evolutionary computation
- probabilistic models
- generative models
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