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Color Image Segmentation Based on Watershed Algorithm

D. Jeyakumari, Dr.D. Somasundareswari

Abstract


Image segmentation is a key 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, the color image segmentation. Color image segmentation methods as an extension of the gray scale image segmentation method in the color images, but a lot of the 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 Color image segmentation method with the combination of watershed algorithm and edge detection algorithm and can obtain superior results than other segmentation methods

Keywords


Image Segmentation, Watershed Algorithm, K-Means Algorithm.

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References


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