Computer Vision, Image Processing Technologies and Machine Learning
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 10 December 2025 | Viewed by 839
Special Issue Editors
Interests: AI; computer vision; image processing; integration of AI with IoT
Special Issue Information
Dear Colleagues,
The fields of computer vision, image processing, and machine learning have witnessed remarkable advancements in recent years, driving significant innovations across industries. The integration of these technologies has created transformative solutions for real-time image analysis, automation, healthcare, robotics, security, entertainment, and beyond. This Special Issue aims to highlight the cutting-edge research, methodologies, and applications that leverage the synergy between computer vision, image processing, and machine learning.
Computer vision enables machines to interpret and understand the visual world, closely mimicking human perception. From object detection and recognition to scene understanding and autonomous navigation, computer vision plays a central role in enabling intelligent systems to function in complex, dynamic environments. Researchers are exploring new ways to enhance computer vision techniques with deep learning algorithms, allowing for more accurate and scalable solutions.
Image processing is the backbone of many computer vision applications, focusing on improving and analyzing visual data. This area includes various techniques like noise reduction, image enhancement, image segmentation, and edge detection, which refine raw images or videos for further analysis. Innovations in image processing have facilitated medical imaging advancements, satellite image analysis, and high-quality video processing in entertainment and surveillance.
Machine learning forms the core of modern artificial intelligence and is used to empower computer vision and image processing systems to learn from large datasets, adapt to new information, and improve over time. In particular, deep learning, a subset of machine learning, has revolutionized both computer vision and image processing by enabling high-performance models for image classification, object detection, face recognition, and scene reconstruction.
This Special Issue brings together multidisciplinary approaches, covering topics such as the following:
- Novel machine learning techniques for computer vision;
- Image processing for medical imaging and diagnostics;
- Real-time object detection and tracking;
- Facial recognition and biometrics;
- Deep learning for image and video enhancement;
- Applications of computer vision and machine learning in autonomous vehicles;
- Innovative algorithms for noise removal and edge detection;
- Smart surveillance and security systems.
Researchers, engineers, and practitioners are invited to contribute original research, reviews, and case studies that explore innovative applications and new challenges in the field of computer vision, image processing, and machine learning. The goal is to provide a comprehensive overview of current trends and future directions for these interconnected fields, pushing the boundaries of what is possible in intelligent visual systems.
Dr. Mahasak Ketcham
Dr. Thittaporn Ganokratanaa
Guest Editors
Manuscript Submission Information
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Keywords
- computer vision
- image processing
- machine learning
- deep learning
- object detection
- image enhancement
- facial recognition
- medical imaging
- autonomous vehicles
- real-time analysis
- smart surveillance
- video processing
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