A Comparative Analysis of Watershed and Color based segmentation for Fruit Grading
P.Deepa1, S.N. Geethalakshmi2
1P.Deepa Department of computer science, Avinashilingam University for Women, Coimbatore, India..
2S.N. Geethalakshmi Department of computer science, Avinashilingam University for Women, Coimbatore, India.
Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 11-15 | Volume-2, Issue-3, July 2012. | Retrieval Number: B0655052312 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, we presented two segmentation methods. Multi-scale edge detection with watershed segmentation and color based segmentation using K-means. Color based segmentation is based on fruit color and its difference. Mostly the damage part of the fruit will be of different color and that will be segmented by our algorithm very correctly. Second the watershed segmentation also segments the fruit based on color, shape and size of the damage. We compared the results of both segmentation results and the watershed segmentation outperforms the color based segmentation in all aspects.MATLAB image processing toolbox is used for the computation and Comparison results are shown with the segmented images.
Keywords: Fruit grading, Multiscale edge detection, watershed segmentation, Region merging, Kmeans segmentation.