One-dimensional Color-level Co-occurrence matrices

Author

Benco, Miroslav ; Hudec, Rober ; Matuska, Slavomir ; Zachariasova, Martina

Author_Institution

Dept. of Telecommun. & Multimedia, Univ. of Zilina, Zilina, Slovakia

fYear

2012

fDate

21-22 May 2012

Firstpage

18

Lastpage

21

Abstract

The texture feature extraction plays important role in image analysis. This paper deals with improvement of the one-dimensional version of GLCM (Gray Level Cooccurrence Matrix). In our approach, the color information of texture was taken into consideration. The novel One dimensional Color Level Co-occurrence Matrix (1D-CLCM) are designed. Performances of proposed method are verified on database of 2600 color images. Experimental results demonstrated that 1D-CLCM is more effective compared to one-dimensional and original GLCM for image retrieval.

Keywords

feature extraction; image colour analysis; image retrieval; image texture; 1D-CLCM; GLCM; color image; color information; gray level cooccurrence matrix; image analysis; image retrieval; one-dimensional color-level cooccurrence matrices; texture feature extraction; Color; Feature extraction; Image color analysis; Image retrieval; Multimedia communication; Vectors; CLCM; Co-occurrence; color texture; feature extraction; one-dimensional;

fLanguage

English

Publisher

ieee

Conference_Titel

ELEKTRO, 2012

Conference_Location

Rajeck Teplice

Print_ISBN

978-1-4673-1180-9

Type

conf

DOI

10.1109/ELEKTRO.2012.6225600

Filename

6225600