Application of Machine Learning and Mathematical Methods in Image Analysis and Computer Vision
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 27 October 2026 | Viewed by 1
Special Issue Editors
Interests: machine learning; deep learning; image analysis; computer vision; medical imaging
Interests: digital image processing; machine learning; deep learning; biodata and bioimage analysis; brain-computer interface; FPGA prototyping; embedded system design; SoC design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, machine learning and optimization have become central tools in image analysis and computer vision, providing powerful methodologies for solving challenging real-world imaging problems. This Special Issue focuses on new mathematical models, learning frameworks, and optimization algorithms that advance the state of the art in imaging science. We invite contributions that address both theoretical and practical aspects, including novel learning-based approaches, efficient optimization strategies, and interdisciplinary applications. Topics of interest include, but are not limited to, data-driven image reconstruction, variational and optimization-driven imaging methods, deep architectures for visual understanding, trustworthy and explainable AI for imaging, and rigorous analysis of algorithms for large-scale visual data. We especially welcome works that connect solid mathematical theory with innovative applications in areas such as medical imaging, remote sensing, autonomous systems, and industrial inspection.
Dr. Hyun-Cheol Park
Dr. Dat Ngo
Guest Editors
Manuscript Submission Information
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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.
Keywords
- machine learning
- deep learning
- optimization methods
- image analysis
- computer vision
- variational imaging
- inverse problems
- medical imaging
- remote sensing
- pattern recognition
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