Image indexing by modified color cooccurrence matrix

Author

Shim, Seong-O ; Choi, Tae-Sun

Author_Institution

Dept. of Mechatronics, Kwangju Inst. of Sci. & Technol., South Korea

Volume

3

fYear

2003

fDate

6-10 April 2003

Abstract

Image indexing based on a modified color cooccurrence matrix (MCCM) is proposed. First, the CCM is simplified to represent the number of color (hue) pairs between adjacent pixels in the image. Then, the CCM is split into diagonal and non-diagonal elements that constitute two elements of the MCCM. Indexing the image by MCCM could exploit shape information in the abstract level. The proposed MCCM is an accumulative feature. Experimental results show the superiority of MCCM based indexing in comparison to indexing based on other accumulative features, color histogram and auto-correlogram, with very competitive computational cost.

Keywords

feature extraction; image classification; image colour analysis; image retrieval; matrix algebra; accumulative feature; auto-correlogram; color correlogram; color histogram; color pairs; diagonal elements; feature vector extraction; hue pairs; image indexing; image retrieval; modified color cooccurrence matrix; nondiagonal elements; shape information; Computational efficiency; Content based retrieval; Histograms; Image databases; Image retrieval; Image segmentation; Indexing; Pixel; Shape; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1199540

Filename

1199540