DocumentCode
2206444
Title
Fractal Dimension Co-occurrence Matrix Method for Texture Classification
Author
Kim, Ju Hyun ; Kim, Soo Chang ; Kang, Tae Jin
Author_Institution
Sch. of Mater. Sci. & Eng., Seoul Nat. Univ.
fYear
2006
fDate
14-17 Nov. 2006
Firstpage
1
Lastpage
4
Abstract
The fractal dimension co-occurrence matrix (FDCM) method, incorporating with fractal dimension and the gray level co-occurrence matrix (GLCM) method, is presented for texture classification. 12 Brodatz´s natural texture images were classified by the GLCM method, sub-band domain cooccurrence matrix (SBCM) method and the FDCM method. The FDCM method showed the highest classification rate among the compared methods
Keywords
fractals; image classification; image texture; matrix algebra; Brodatz natural texture image; FDCM; GLCM; SBCM; fractal dimension cooccurrence matrix method; gray level cooccurrence matrix method; sub-band domain cooccurrence matrix method; texture classification; Discrete wavelet transforms; Fabrics; Fractals; Frequency; Image texture analysis; Intelligent systems; Pixel; Textiles; Wavelet analysis; Wavelet transforms; Texture classification; box counting method; fractal dimension; gray level co-occurrence matrix; wavelet fractal method;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location
Hong Kong
Print_ISBN
1-4244-0548-3
Electronic_ISBN
1-4244-0549-1
Type
conf
DOI
10.1109/TENCON.2006.343806
Filename
4142481
Link To Document