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.

[1]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[2]  M.,et al.  Statistical and Structural Approaches to Texture , 2022 .

[3]  Naif Alajlan,et al.  Multi-object image retrieval based on shape and topology , 2006, Signal Process. Image Commun..

[4]  Jing Huang,et al.  Spatial Color Indexing and Applications , 2004, International Journal of Computer Vision.

[5]  Chin-Chen Chang,et al.  A Color Image Retrieval Method Based on Color Moment and Color Variance of Adjacent Pixels , 2002, Int. J. Pattern Recognit. Artif. Intell..

[6]  Yung-Kuan Chan,et al.  An Image Retrieval System Based On The Image Feature Of Color Differences On Edges In Spiral Scan Order , 2003, Int. J. Pattern Recognit. Artif. Intell..

[7]  Toshikazu Kato,et al.  Database architecture for content-based image retrieval , 1992, Electronic Imaging.

[8]  Markus A. Stricker,et al.  Similarity of color images , 1995, Electronic Imaging.

[9]  Ramin Zabih,et al.  Histogram refinement for content-based image retrieval , 1996, Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96.

[10]  Kin-Man Lam,et al.  Frequency layered color indexing for content-based image retrieval , 2003, IEEE Trans. Image Process..

[11]  Jing Huang,et al.  Image indexing using color correlograms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.