Edge Detection Lecture

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.

Hough Transform in Byzantine iconography analysis.

Edge-Detection-v4.1

Understanding Questionnaire

https://docs.google.com/forms/edge-detection

Tutorial Exercises

1. 1D Masks For Sobel Edge Detection Tutorial Exercise
2. Edge Detection Employing Pixel Differences Tutorial Exercise
3. Edge Detection With 1D Masks Tutorial Exercise

Programming Exercise

1. Edge Detection 
2. Edge Detection in video