1. Concepts of image processing and recognition: digital image processing, gray histogram, image computing algorithms, image similarity measurement, image transform, etc.
2. Reviews and recent progress in pattern recognition: statistical pattern recognition reviews, introduction of clustering methods, statistical learning and support vector machine, recent applications in face recognition, text detection and video retrieval, etc.
3. Applications in image and video analysis: image segmentation, object measurement, sports video analysis, etc.
4. Course practice: to complete a course project of solving a pattern recognition problem, to develop a related pattern recognition application, to evaluate the system and demonstrate the work.
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