Image comparison using symmetrical color-spatial feature

Author

Feng, Zhong-Hui ; Zhou, Bing ; Shen, Jun-Yi ; Pan, Ding

Author_Institution

Inst. of Comput. Software, Xi´´an Jiaotong Univ., China

Volume

9

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

5538

Abstract

Color feature of an image is the most common used feature in content-based image retrieval (CBIR) systems. Combining the traditional color-histogram with some spatial information will greatly increase the accuracy of matching two color images. One advantage of color feature is that it is independent to the distortion of an image. However, with the introducing of spatial information, this advantage will disappear. In this paper, we propose a new method to compare two images, which based on symmetrical color-spatial feature (SCSF). Our experiments show that the SCSF is independent to the symmetrical distortion of an image, such as rotation and flip.

Keywords

content-based retrieval; feature extraction; image colour analysis; image matching; image retrieval; CBIR systems; color histogram; color quantization; content-based image retrieval; image color feature; image comparison; spatial information; symmetrical color-spatial feature; symmetrical image distortion; Color; Cybernetics; Histograms; Image matching; Machine learning; Pixel; Quantization; Color Quantization; Content Based Image Retrieval; Image Matching; Symmetrical Color-Spatial Feature;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527923

Filename

1527923