Chapter 4. Counting the Pixels with Histograms
In this chapter, we will cover the following recipes:
- Computing an image histogram
- Applying look-up tables to modify the image's appearance
- Equalizing the image histogram
- Backprojecting a histogram to detect specific image content
- Using the mean shift algorithm to find an object
- Retrieving similar images using the histogram comparison
- Counting pixels with integral images
Introduction
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 ...
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