Computer Vision
Core concepts in image processing and computer vision are covered here. Things like convolutions, hough transforms, camera calibration are here! Most of these are programming agnostic - however, I've mostly used OpenCV to implement these ideas.
Tutorials
- Finding dominant colors in an image 1 2 3
- The Canny Edge Detector 1 2
- Image Moments
- A super fast thresholding technique
- The Sobel and Laplacian Edge Detectors
- Fast connected components labeling
- Convolutions 1 2
- Calibrating & Undistorting with OpenCV in C++ (Oh yeah)
- Calibrating a camera: Theory
- Two major physical defects in cameras
- Mathematical Morphology 1 2
- Histograms: From simplest to the most complex
- SIFT: Theory and Practice 1 2 3 4 5 6 7
- Corner Detection in OpenCV
- Fundamentals of Features and Corners 1 2 3 4 5
- Connected Component Labelling 1 2 3
- Circle Hough Transform
- The Hough Transform 1 2
- Template matching
- Normalized RGB
- Noise reduction by averaging 1 2
- Noise Models 1 2
- Color spaces 1 2
- Thresholding
- An introduction to contours
