DocumentCode
502718
Title
Texture classification based on contourlet and support vector machines
Author
Xiangbin, Zhu
Author_Institution
Coll. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
Volume
2
fYear
2009
fDate
8-9 Aug. 2009
Firstpage
521
Lastpage
524
Abstract
We propose an texture classification method for the image classification of objects in 2D images. The algorithm is based on recent developments in support vector machines and contourlet transform. The texture classification method is robust in the presence of noise. The method has been implemented and performed experiments on some image data. Our experimental results showed characteristics of our method. In the end, the future research directions are discussed.
Keywords
image classification; image texture; support vector machines; transforms; 2D images; contourlet transform; image classification; support vector machines; texture classification; Computational complexity; Feature extraction; Filter bank; Gabor filters; Image classification; Signal processing; Statistical analysis; Support vector machine classification; Support vector machines; Wavelet transforms; Contourlet; SVM; Texture Classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location
Sanya
Print_ISBN
978-1-4244-4247-8
Type
conf
DOI
10.1109/CCCM.2009.5267510
Filename
5267510
Link To Document