An image is composed of pixels of different values (colors). The distribution of pixel values across an image constitutes an important characteristic of that image. This chapter introduces the concept of image histograms. You will learn how to compute a histogram and how to use it to modify an image's appearance. Histograms can also be used to characterize an image's content and detect specific objects or textures in an image. Some of these techniques will be presented in this chapter.

OpenCV Computer Vision Application Programming Cookbook
By :

OpenCV Computer Vision Application Programming Cookbook
By:
Overview of this book
Table of Contents (18 chapters)
OpenCV Computer Vision Application Programming Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Playing with Images
Manipulating Pixels
Processing Color Images with Classes
Counting the Pixels with Histograms
Transforming Images with Morphological Operations
Filtering the Images
Extracting Lines, Contours, and Components
Detecting Interest Points
Describing and Matching Interest Points
Estimating Projective Relations in Images
Processing Video Sequences
Index
Customer Reviews