This Repo is a collection of some classic computer vision algorithms I studied in computer vision nanodegree from Udacity introduced in Jupyter Notebooks for simplicity.
Repo contains face detection using Haar Cascade, and using Harris Detector for corner Detections.
Edge Detection folder contains notebooks for the following topics:
1- Using Histogram of Gradients (HOG) for Edge Detection
2- Using Hough transform for detecting lines on Ede detected image
3- Using Canny Edge detector
4- Fourier Transform for detecting High frequencies (edges) and low frequencies (smooth colors) in images
5- using Gaussian Blur as low frequency noise filter
6- Detecting contours through binary images and Canny edge detector