Please use this identifier to cite or link to this item:
|Title:||Texture classification using the hough transform||Authors:||Kasparis, Takis
|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
|ISSN:||0277786X||DOI:||10.1117/12.964263||Rights:||© 1986 SPIE|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
Show full item record
checked on Mar 25, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.