DocumentCode
575571
Title
Features for texture analysis
Author
Hossain, Shahadat ; Serikawa, Seiichi
Author_Institution
Dept. of Electron. & Electr. Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
fYear
2012
fDate
20-23 Aug. 2012
Firstpage
1739
Lastpage
1744
Abstract
In the field of computer vision and image processing, analysis and classification of texture images have various crucial applications. However, a detailed survey on how to extract and from which method features can be extracted is necessary. In this paper, we survey key approaches of features for texture analysis. We hope that this paper will be useful for a reader who has interest texture analysis.
Keywords
computer vision; feature extraction; image texture; computer vision; feature extraction; image processing; texture analysis; texture images; Correlation; Feature extraction; Fractals; Gabor filters; Histograms; Wavelet transforms; GLCM; Texture; Wavelet; feature; random field;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location
Akita
ISSN
pending
Print_ISBN
978-1-4673-2259-1
Type
conf
Filename
6318734
Link To Document