Advances in Image Processing and Detection
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Multimedia".
Deadline for manuscript submissions: closed (15 May 2024) | Viewed by 12852
Special Issue Editors
Interests: pattern recognition; artificial intelligence; software engineering
Interests: pattern recognition; artificial intelligence; data processing and analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Vision is the primary channel for humans to obtain information, and images are the most common vision format. Image processing and detection have become very important research fields in the last decade with the fast development of visual communication technologies. In recent years, various advanced image pre/processing, object detection, and feature learning methods have been developed, effectively supporting subsequent intelligent understanding, reasoning, and decision tasks. This Special Issue aims to encourage original papers that present high-quality research to address challenges in image processing and detection.
This Special Issue, “Advances in Image Processing and Detection”, invites original research and comprehensive reviews, including, but not limited to:
- Advanced image processing models;
- Advanced object detection models;
- Deep learning and machine learning models for image processing and detection;
- Pattern feature extraction;
- Multi-modality, cross-modal representation learning;
- Point cloud object detection;
- Image processing and detection for face recognition;
- Image processing and detection for person re-identification;
- Image processing and detection for image segmentation;
- Video signal processing and detection;
- Medical image processing;
- Privacy protection in image processing and detection;
- Parallel/distributed learning paradigms for image processing and detection.
Prof. Dr. Fei Wu
Dr. Xinyu Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- image processing
- object detection
- deep learning
- feature representation learning
- multi-modality learning
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