Image indexing by Color Plane Moment

Abstract

Among the features of content-based image retrieval, color features provide important clues to search similar image contents. In addition to color, there exists more information in the image. In this article, we propose a new method for content-based image retrieval: Color Plane Moment (CPM). This method combines colors' content and their spatial distribution to improve image query results. It integrates the ideas of color histogram, backprojection, and moments. The CPM uses backprojection as one of the image preprocessing methods and computes the invariant moments with those dominant color plane images after preprocessing. There are several dominant colors chosen by color histogram in an image, and each can be expressed by seven invariant moment values that represent spatial distribution of those dominant color planes, respectively. Simulation results demonstrate that the proposed technique outperforms the other techniques.

Trademark image retrieval by distance–angle pair‐wise histogram

“…Generally speaking, there are three major approaches for image feature extraction. One is to extract the color feature of image (Fuh et al, 2000;Lin et al, 2002;Wei, 2002;Yu et al, 2002), another is to catch the texture feature, and the last is to extract the shape feature. A complete process of CBIR can be roughly described as in Figure 1.…”