Laplacian Of Gaussian (Marr-Hildreth) Edge Detector
The following are my notes on part of the Edge Detection lecture by Dr. Shah: Lecture 03 – Edge Detection
The following are my notes on part of the Edge Detection lecture by Dr. Shah: Lecture 03 – Edge Detection
Reference
Filter masks are fundamental to the implementation of image filters, which are used in many computer vision algorithms.
Taking the derivative of an image is a concept that I’ve seen come up both in edge detection and in computing optical flow. It’s confused the heck out of me because I would normally think of derivatives in terms of taking the derivative of a continuous function. However, with an image, you have a 2D matrix of seemingly random values, so what could it mean to take the derivative?
Lecture 01 Introduction to Computer Vision