Computer Vision and Image Processing in Machine Learning

Dear Colleagues,

We are delighted to invite you to contribute to a Special Issue on "Computer Vision and Image Processing in Machine Learning" for our journal. This Special Issue aims to provide a platform for showcasing the latest advancements, innovative solutions, and emerging trends in the integration of image processing and computer vision techniques with machine learning approaches.

The field of image processing and computer vision has experienced a remarkable transformation with the advent of powerful machine learning algorithms. These synergistic developments have led to breakthroughs in various applications, including but not limited to:

• Object detection and recognition;
• Semantic segmentation;
• Image restoration and enhancement;
• Human pose estimation;
• Autonomous navigation and robotics;
• Medical image analysis;
• Satellite and aerial image interpretation;
• Augmented and virtual reality;
• Emotion and facial expression analysis.

We invite original research articles, review papers, and insightful case studies that address the theoretical, methodological, and practical aspects of this exciting intersection between image processing, computer vision, and machine learning. Potential topics of interest include, but are not limited to:

• Deep learning architectures for image and video processing;
• Unsupervised and semi-supervised learning for computer vision;
• Transfer learning and domain adaptation in visual tasks;
• Multimodal fusion and cross-modal learning;
• Explainable and interpretable machine learning for image analysis;
• Hardware acceleration and efficient deployment of vision models;
• Ethical and privacy-preserving considerations in visual AI;
• Applications of image/video ML in healthcare, autonomous systems, and smart cities.

We encourage researchers, practitioners, and industry experts to contribute their valuable work to this Special Issue. Submissions should follow the journal's guidelines and will undergo a rigorous peer-review process.

The deadline for manuscript submission is 20 May 2025. We look forward to receiving your contributions and working together to advance the state-of-the-art in this exciting field.

Dr. Yuanqi Su
Dr. Chi Zhang
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.

• computer vision
• machine vision
• deep learning
• artificial intelligence