Practical Python and OpenCV

Quick start guide to learning the fundamentals of computer vision and image processing using Python and OpenCV. Introduction Python and Required Packages A note on Python & OpenCV Versions NumPy and SciPy Windows OSX Linux Matplotlib All Platforms OpenCV Linux and OSX Windows Mahotas All Platforms scikit-learn All Platforms scikit-image Skip the Installation Loading, Displaying, and Saving Image Basics So, What's a Pixel? Overview of the Coordinate System Accessing and Manipulating Pixels Drawing Lines and Rectangles Circles Image Processing Image Transformations Translation Rotation Resizing Flipping Cropping Image Arithmetic Bitwise Operations Masking Splitting and Merging Channels Color Spaces Histograms Using OpenCV to Compute Histograms Grayscale Histograms Color Histograms Histogram Equalization Histograms and Masks Smoothing and Blurring Averaging Gaussian Median Bilateral Thresholding Simple Thresholding Adaptive Thresholding Otsu and Riddler-Calvard Gradients and Edge Detection Laplacian and Sobel Canny Edge Detector Contours Counting Coins Where to Now?