Title :
Features for texture analysis
Author :
Hossain, Shahadat ; Serikawa, Seiichi
Author_Institution :
Dept. of Electron. & Electr. Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
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;
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
Print_ISBN :
978-1-4673-2259-1
