Application of Computer Vision and Image Processing with Machine Learning and Mathematical Methods
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 6
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue explores the cutting-edge intersection of computer vision, image processing, and mathematical theory, powered by machine learning. The rapid advancement in these fields is increasingly driven by sophisticated mathematical models, from deep learning architectures and statistical analyses to geometric methods and variational calculus.
This Issue seeks high-quality research that not only demonstrates novel applications but also emphasizes the underlying mathematical frameworks that make them possible. We welcome contributions that address fundamental theoretical developments, innovative algorithmic solutions, and practical implementations across diverse areas such as medical imaging, autonomous systems, remote sensing, and computational photography.
Our goal is to provide a platform for researchers to share insights that bridge the gap between abstract mathematical concepts and their concrete, impactful applications in visual data understanding, pushing the boundaries of what is computationally and theoretically achievable.
Dr. Liang Li
Guest Editor
Manuscript Submission Information
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Keywords
- computer vision
- image processing
- machine learning
- deep learning
- mathematical modeling
- pattern recognition
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