Color Feature Detection

Differential-based features such as edges, corners, and salient points are widely used in a variety of applications such as matching, object recognition, and object tracking. Many applications are based on luminance-based features. In this chapter we discuss algorithms for the detection of color features in images. As we will see, this has several advantages over luminance-based features. First of all, we can apply the photometric invariance theory discussed in Chapter 6, which allows us to detect photometric invariant features. Secondly, color plays an important role in attributing saliency to images.