Research Article
Color Image Segmentation using Fuzzy Local Texture Patterns
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 41 - Issue 18 |
| Published: March 2012 |
| Authors: E. M. Srinivasan, K. Ramar, A. Suruliandi |
10.5120/5641-8021
|
E. M. Srinivasan, K. Ramar, A. Suruliandi . Color Image Segmentation using Fuzzy Local Texture Patterns. International Journal of Computer Applications. 41, 18 (March 2012), 16-23. DOI=10.5120/5641-8021
@article{ 10.5120/5641-8021,
author = { E. M. Srinivasan,K. Ramar,A. Suruliandi },
title = { Color Image Segmentation using Fuzzy Local Texture Patterns },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 41 },
number = { 18 },
pages = { 16-23 },
doi = { 10.5120/5641-8021 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A E. M. Srinivasan
%A K. Ramar
%A A. Suruliandi
%T Color Image Segmentation using Fuzzy Local Texture Patterns%T
%J International Journal of Computer Applications
%V 41
%N 18
%P 16-23
%R 10.5120/5641-8021
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Texture is one of the fundamental image characteristics useful in computer vision tasks such as object recognition and scene analysis. Texture segmentation is one of the image analysis tasks. The prospect of texture segmentation depends on the choice of the texture description method and the segmentation procedure. In this paper, color-texture descriptors are proposed to represent the texture contents of the color images. In these texture description schemes, small areas of the image are represented by fuzzy based local texture patterns and the entire image is represented by frequency occurrence of such texture patterns. Supervised segmentation of color images is performed using these color-texture descriptors and promising results are obtained.
References
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