Innovative Applications of Intelligent Computing in Image Processing and Computer Vision
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 147
Special Issue Editors
Interests: deep learning; data mining; quality management; quality engineering; medical auxiliary diagnosis; production scheduling
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; data mining; digital transformation; financial technology
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence application; big data analysis; deep learning
Interests: data analysis and data mining; artificial intelligence application; computational intelligence; lean production system; supply chain management; production scheduling optimization
Special Issue Information
Dear Colleagues,
This Special Issue centers on the innovative applications of intelligent computing in image processing and computer vision. As these fields evolve, it is crucial to bridge the gap between theoretical research and practical implementation, especially for tackling complex, real world problems in sectors such as healthcare, remote sensing, autonomous systems, security, industry, and predictive maintenance. We aim to highlight the transformative effects of intelligent computing in these domains, focusing on application-driven contexts. We invite contributions that demonstrate successful implementations across various industries, with the goal of fostering collaboration between academia and industry to effectively address real world challenges.
The Special Issue welcomes original research papers, comprehensive reviews, and case studies. We welcome submissions that demonstrate the application of intelligent algorithms and models in addressing significant challenges covering, but not limited to, the following topics:
- Medical Imaging: intelligent computing techniques for enhancing medical image analysis, including diagnostic tools, automated segmentation, and image enhancement for improved clinical outcomes.
- Industrial Inspection and Automation: application of advanced image processing methods in defect detection, quality control, and automation within manufacturing processes.
- Security and Surveillance: development of intelligent systems for real-time video analysis, including object detection, behavior recognition, and threat assessment.
- Prognostics and Health Management (PHM): utilization of intelligent computing in the monitoring and predictive maintenance of industrial systems, including fault detection, failure prediction, and lifespan estimation.
- Autonomous Systems: integration of computer vision in autonomous vehicles and drones, focusing on navigation, obstacle detection, and situational awareness.
- Augmented and Virtual Reality: practical applications of computer vision in creating immersive AR/VR experiences for sectors like education, training, and entertainment.
- Agricultural Technology: implementation of intelligent imaging techniques for precision agriculture, including crop monitoring, disease detection, and yield optimization.
- Cultural Heritage Preservation: use of image processing for the restoration, preservation, and digitization of cultural artifacts and historical sites.
- Environmental Monitoring: application of intelligent computing in environmental monitoring and remote sensing, contributing to climate change studies and resource management.
- Mathematical modeling and analysis of image data: development of novel mathematical frameworks for representing, analyzing, and understanding image information.
- Optimization and learning algorithms: exploration of efficient optimization techniques and machine learning models tailored for image processing tasks.
- Geometric and topological methods: application of geometric and topological concepts for image analysis, feature extraction, and shape recognition.
- Statistical and probabilistic models: development of probabilistic models for image modeling, segmentation, and interpretation.
Prof. Dr. Mei-Ling Huang
Dr. Chih-Chieh Chang
Dr. Yao-San Lin
Dr. Shu-Fen Li
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent computing
- image processing
- computer vision
- mathematical modeling
- optimization
- industrial inspection
- security and surveillance
- prognostics and health management (PHM)
- autonomous systems
- precision agriculture
- cultural heritage
- medical imaging
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