Robust c-prototypes algorithms for color image segmentation

In this paper, we present a modified clustering algorithm to segment color images. The proposed technique is based on the robust c -prototypes algorithm with some modifications in its objective function and updating equations. The JK chromatic subspace of the IJK color space is used to segment color...

Full description

Saved in:
Bibliographic Details
Published in:EURASIP journal on image and video processing 2013-12, Vol.2013 (1), p.63-63, Article 63
Main Authors: Mújica-Vargas, Dante, Gallegos-Funes, Francisco J, Rosales-Silva, Alberto J, de Jesús Rubio, José
Format: Article
Language:English
Subjects:
Biometrics
Engineering
Image Processing and Computer Vision
Pattern Recognition
Signal,Image and Speech Processing
Soft Computing for Image Analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we present a modified clustering algorithm to segment color images. The proposed technique is based on the robust c -prototypes algorithm with some modifications in its objective function and updating equations. The JK chromatic subspace of the IJK color space is used to segment color images. The algorithm performance is tested on real images with natural artifacts that make the segmentation process difficult. Additionally, a remote sensing image is segmented to demonstrate that the proposed algorithm can be used in real applications. Simulation results indicate that the proposed method is more effective than others proposed in the literature in terms of objective and subjective criteria.
ISSN:1687-5281
1687-5281
DOI:10.1186/1687-5281-2013-63