Recent Research and Applications of Computer Vision and Image Processing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 September 2025 | Viewed by 127
Special Issue Editors
Interests: autonomous-driving system; machine learning
Interests: unmanned vehicles; autonomous driving; precision agriculture; smart healthcare
Interests: artificial intelligence; nature language processing; chinese story analysis and generation; computer vision and face recognition
Special Issue Information
Dear Colleagues,
Computer vision and image processing have experienced remarkable advancements in recent years, transforming how machines interpret, analyze, and respond to visual information. These technologies have become indispensable across various applications, significantly impacting industry, healthcare, transportation, security, and entertainment. From enabling autonomous vehicles to navigate complex environments to improving diagnostic accuracy in medical imaging, enhancing surveillance systems, and powering immersive augmented-reality experiences, computer vision and image processing are redefining the possibilities of technology.
This Special Issue highlights the latest research and innovative applications. It provides a platform for researchers to present novel methodologies and explore emerging trends. By addressing theoretical developments and real-world implementations, this SI seeks to inspire collaboration and future innovations to extend the impact of computer vision and image processing across various domains.
Topics of interest include, but are not limited to, machine learning, deep learning, image recognition and reconstruction, object detection, semantic and instance segmentation, and feature extraction.
Dr. Che-Cheng Chang
Prof. Dr. Jichiang Tsai
Dr. Jhe-Wei Lin
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- deep learning
- image recognition
- object detection
- semantic segmentation
- instance segmentation
- feature extraction
- image reconstruction
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