Title :
Use Symmetrical Color-Spatial Feature for Image Comparison
Author :
Zhou, Bing ; Wei, Shou-Zhi
Author_Institution :
Detp. of Comput. Sci. & Eng., Northeastern Univ., Qin Huang-dao
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; image colour analysis; image matching; image retrieval; color-histogram; content-based image retrieval; image color feature; image comparison; image distortion; image matching; symmetrical color-spatial feature; Color; Computer science; Content based retrieval; Digital images; Histograms; Image retrieval; Information retrieval; Internet; Pixel; World Wide Web;
Conference_Titel :
Information Technology and Applications, 2005. ICITA 2005. Third International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-2316-1
DOI :
10.1109/ICITA.2005.294
