Fractal dimension co-occurrence matrix method for texture classification

被引：0
|
作者：
Kim, Ju Hyun [1 ]
Kim, Soo Chang [1 ]
Kang, Tae Jin [1 ]
机构：
[1] Seoul Natl Univ, Sch Mat Sci & Engn, Intelligent Textile Syst Res Ctr, Sillim-9-dong, Seoul 151744, South Korea
来源：
TENCON 2006 - 2006 IEEE REGION 10 CONFERENCE, VOLS 1-4 | 2006年
关键词：
texture classification; gray level co-occurrence matrix; fractal dimension; box counting method; wavelet fractal method;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1407 / +
页数：2
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