Color image segmentation: Rough-set theoretic approach

Authors:
Milind M. Mushrif;Ajoy K. Ray
Affiliations:
Department of Electronics and Communication Engineering, Yeshwantrao Chavan College of Engineering, Hingna Road, Wanadongri, Nagpur, Maharashtra 440 022, India;Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721 302, India
Venue:
Pattern Recognition Letters
Year:
2008

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Abstract

A new color image segmentation algorithm using the concept of histon, based on Rough-set theory, is presented in this paper. The histon is an encrustation of histogram such that the elements in the histon are the set of all the pixels that can be classified as possibly belonging to the same segment. In rough-set theoretic sense, the histogram correlates with the lower approximation and the histon correlates with upper approximation. The roughness measure at every intensity level is calculated and then a thresholding method is applied for image segmentation. The proposed approach is compared with the histogram-based approach and the histon based approach. The experimental results demonstrate that the proposed approach yields better segmentation.