March 2018
Beginner to intermediate
306 pages
9h 54m
English
Content preview from OpenCV 3 Computer Vision with Python Cookbook
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Matrices, Colors, and Filters
In this chapter, we will cover the following recipes:
- Manipulating matrices-creating, filling, accessing elements, and ROIs
- Converting between different data types and scaling values
- Non-image data persistence using NumPy
- Manipulating image channels
- Converting images from one color space to another
- Gamma correction and per-element math
- Mean/variance image normalization
- Computing image histograms
- Equalizing image histograms
- Removing noise using Gaussian, median, and bilateral filters
- Computing gradient images using Sobel filters
- Creating and applying your own filter
- Processing images with real-valued Gabor filters
- Going from the spatial to the frequency domain (and back) using discrete Fourier transform
- Manipulating ...