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Practical Python and OpenCV

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Quick start guide to learning the fundamentals of computer vision and image processing using Python and OpenCV.

Author(s): Adrian Rosebrock
Edition: 3rd Kindle Edition
Publisher: PyImageSearch
Year: 2016

Language: English

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?