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OpenCV 3 Computer Vision Application Programming Cookbook

You're reading from   OpenCV 3 Computer Vision Application Programming Cookbook Recipes to make your applications see

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786469717
Length 474 pages
Edition 3rd Edition
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Author (1):
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Robert Laganiere Robert Laganiere
Author Profile Icon Robert Laganiere
Robert Laganiere
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Toc

Table of Contents (15) Chapters Close

Preface 1. Playing with Images FREE CHAPTER 2. Manipulating Pixels 3. Processing the Colors of an Image 4. Counting the Pixels with Histograms 5. Transforming Images with Morphological Operations 6. Filtering the Images 7. Extracting Lines, Contours, and Components 8. Detecting Interest Points 9. Describing and Matching Interest Points 10. Estimating Projective Relations in Images 11. Reconstructing 3D Scenes 12. Processing Video Sequences 13. Tracking Visual Motion 14. Learning from Examples

Introduction

The ability to see the world in colors is one of the important characteristics of the human visual system. The retina of the human eye includes specialized photoreceptors, called cones, which are responsible for the perception of colors. There are three types of cones that differ in the wavelength range of light they absorb; using the stimuli from these different cells, the human brain is able to create color perception. Most other animals only have rod cells, which are photoreceptors with better light sensitivity but that cover the full spectrum of visible light without color discrimination. In the human eye, rods are mainly located at the periphery of the retina, while the cones are concentrated in the central part.

In digital imaging, colors are generally reproduced by using the red, green, and blue additive primary colors. These have been selected because when they are combined together, they can produce a wide gamut of different colors. In fact, this choice of primaries...

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