COLOR IMAGE SEGMENTATION BASED ON ENRICHED WATERSHED ALGORITHM AND REGION MERGING

D. Jeyakumari; Dr.D. Somasundareswari; D.Suganthi

Article Information

Published In Volume 1, Issue 7 (2015)
Publication Date July 26, 2026
Manuscript ID IJCRCST-OCTOBER15-08
Article Type Research Paper
Pages 262 - 265
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Abstract

Image segmentation is a major technology in image processing and computer vision application. It is used to enhance the capabilities of image, computer processing application and improve the feature of color image. Color image segmentation methods as an extension of the gray scale image segmentation method in the color images, but lot of original gray scale image segmentation method cannot be applied to the color images. It is necessary to improve the method according to the color image which improves the feature of information used in color image segmentation. This paper proposes a modified watershed algorithm and region merging of Color images. The proposed Segmentation method with the combination of edge detection algorithm, filtering, watershed algorithm and region merging can obtain superior results than other segmentation methods

Keywords

Image segmentation edge detection watershed algorithm region merging

Authors

D. Jeyakumari

Dr.D. Somasundareswari

D.Suganthi

How to Cite this Article

D. Jeyakumari, Dr.D. Somasundareswari, D.Suganthi (2015). "COLOR IMAGE SEGMENTATION BASED ON ENRICHED WATERSHED ALGORITHM AND REGION MERGING". International Journal of Contemporary Research in Computer Science and Technology, 1(7), pp. 262-265.