Abstract
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.
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Hough Transform in Byzantine iconography analysis.
Edge-Detection-v4.1Understanding Questionnaire
https://docs.google.com/forms/edge-detection
Tutorial Exercises
- 1D Masks For Sobel Edge Detection Tutorial Exercise
- Edge Detection Employing Pixel Differences Tutorial Exercise
- Edge Detection With 1D Masks Tutorial Exercise