Edge Detection Lecture
2D Computer Vision and Image Analysis revolutionize very many domains, notably:
-Medical/Biological/Dental Image Analysis and Diagnosis,
-Autonomous systems perception
-Digital Media (video/image) and Social Media Analytics,
-Big Visual Data Analytics,
-Scientific Image Analysis of any sort, e.g., Remote Sensing, Environment Sensing.
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This lecture overviews Edge Detection that has many applications in image analysis, notably shape description and object recognition. It covers the following topics in detail: Edge detection using numerical differentiation or image statistics. Hough transform for straight line and circle detection. Edge thresholding. Edge following algorithms using heuristic, graph-based and dynamic programming approaches. Object contour detection and contour following algorithms, including Active Contours. Edge and contour detection using neural networks are also reviewed.