DocumentCode :
3184449
Title :
Colour texture segmentation using evidence gathering
Author :
Waller, B.M. ; Nixon, M.S. ; Carter, J.N.
Author_Institution :
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
fYear :
2012
fDate :
3-4 July 2012
Firstpage :
1
Lastpage :
6
Abstract :
A new approach to colour-texture segmentation is presented which uses Local Binary Pattern data and a new colour quantisation scheme based on hue and saturation to provide evidence from which pixels can be classified into texture classes. The proposed algorithm, which we contend to be the first use of evidence gathering in the field of texture classification, uses Generalised Hough Transform style R-tables as unique descriptors for each texture class. Tests on remotely sensed images demonstrate the superiority of the colour-texture algorithm compared to the established JSEG algorithm; a notable advantage of the new approach is the absence of over-segmentation. The VisTex database is used to compare the colour-texture algorithm with alternative methods, including its grey-scale equivalent, for the segmentation of colour texture images; providing good results with smooth texture boundaries and low noise within texture segments.
Keywords :
Hough transforms; geophysical image processing; image colour analysis; image segmentation; image texture; remote sensing; R-tables; VisTex database; colour quantisation scheme; colour texture image segmentation; evidence gathering; generalised Hough transform; grey-scale equivalent; hue; local binary pattern data; pixel classification; remote sensing image; saturation; texture classification; Colour; Evidence Gathering; LBP; Segmentation; Texture;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing (IPR 2012), IET Conference on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-632-1
Type :
conf
DOI :
10.1049/cp.2012.0441
Filename :
6290636
Link To Document :
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