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.
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.