Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7226
Title: Texture classification using the hough transform
Authors: Kasparis, Takis 
Eichmann, George 
Keywords: Image processing
Classification
Texture (Art)
Issue Date: 1986
Publisher: SPIE
Source: Hybrid Image Processing, 1986, Orlando, Florida
Abstract: Texture is one of the important image characteristics and is used to identify objects or regions of interest. The problem of texture classification has been widely studied. Some texture classification approaches use Fourier power-spectrum features, while others are based on first and second-order statistics of gray level differences. Periodic textures that consist of mostly straight lines are of particular interest. In this paper, a new approach based on the Hough method of line detection is introduced. This classification is based on the relative orientation and location of the lines within the texture. Experimental results will also be presented.
URI: http://ktisis.cut.ac.cy/handle/10488/7226
http://172.16.21.12:8080/jspui/handle/10488/7226
http://hdl.handle.net/10488/7226
ISSN: 0277786X
DOI: 10.1117/12.964263
Rights: © 1986 SPIE
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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