Content-Based Color Image Retrieval System Using Color Difference Features
In this paper, we propose a new color image retrieval scheme based on color features. The goal of this scheme is to effectively retrieve images similar to a query image in a color image database. In this scheme, a color image is first divided into three planes. Then the local features of the given image can be found by calculating the color difference of each plane. Thereafter, the color difference co-occurrence matrix (CDCOM) of each color image can be derived through these local features. The CDCOM is regarded as the global feature of the color image. Consequently, CDCOM is used to find images similar to the query image. Experiment results show that the proposed scheme can effectively retrieve the desired and similar images.