DocumentCode :
3435884
Title :
Integration of feature distributions for colour texture segmentation
Author :
Nammalwar, Padmapriya ; Ghita, Ovidiu ; Whelan, Paul F.
Author_Institution :
Sch. of Electron. Eng., Dublin City Univ., Ireland
Volume :
1
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
716
Abstract :
This paper proposes a new framework for colour texture segmentation and determines the contribution of colour and texture. The distributions of colour and texture features provides the discrimination between different colour textured regions in an image. The proposed method was tested using different mosaic and natural images. From the results, it is evident that the incorporation of colour information enhanced the colour texture segmentation and the developed framework is effective.
Keywords :
feature extraction; image colour analysis; image enhancement; image segmentation; image texture; statistical distributions; colour distributions; colour texture segmentation; feature distributions; image enhancement; mosaic images; natural images; statistical distributions; Clustering algorithms; Color; Data mining; Feature extraction; Image segmentation; Iterative algorithms; Large-scale systems; Machine vision; Statistical distributions; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334283
Filename :
1334283
Link To Document :
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