Using Texture Model to Classify Image Texture

Huang Guilan; Zheng Zhaobao

Volume 23 Issue 1

Jan. 1998

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Geomatics and Information Science of Wuhan University > 1998 > 23(1): 40-42.

Huang Guilan, Zheng Zhaobao. Using Texture Model to Classify Image Texture[J]. Geomatics and Information Science of Wuhan University, 1998, 23(1): 40-42.

Citation:

Huang Guilan, Zheng Zhaobao. Using Texture Model to Classify Image Texture[J]. Geomatics and Information Science of Wuhan University, 1998, 23(1): 40-42.

Citation:

Huang Guilan, Zheng Zhaobao. Using Texture Model to Classify Image Texture[J]. Geomatics and Information Science of Wuhan University, 1998, 23(1): 40-42.

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Using Texture Model to Classify Image Texture

School of Geo-science and Surveying Engineering, WTUSM, 129 Luoyu Road, Wuhan, China, 430079

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Received Date: March 04, 1997
Published Date: January 04, 1998

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Abstract

Abstract

Based on the analyses of the character of fractal dimension method and Markov random field (MRF),an image texture classification method is presented.Firstly the MRF method is used,then the fractal dimension method.By this way,we not only can supply the information about texture unit,roughness and self similarity of image texture,but also can reduce the error of recepting false and increase the accuracy of image texture classification.
- image texture classification,
- fractal dimension,
- Markov random field,
- bayes decision

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