Improved Color Image Segmentation Using Fuzzy Weighting And Edge Preservation

Abstract

This paper has proposed a new EPS and FELICM approach to improve the accuracy of the color segmentation procedure further. The motivation behind the proposed approach is simple and effective. If segmented area between the FELICM and Principle component analysis is same then it will be added into the final output image. If the segmented area is not same then according to the variance based theory the minimum variance among two segmented outputs will be selected. After this procedure color labeling will be done to color the segmented area in given image. The comparative analysis has shown the significant improvement of the proposed technique over the available one.
DOI: 10.17762/ijritcc2321-8169.150110