A Comparative Analysis of Watershed and Color based segmentation for Fruit Grading

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dc.categoryJournal Article
dc.contributor.authorGeethalakshmi, S N
dc.date.accessioned2017-03-28T18:21:41Z
dc.date.available2017-03-28T18:21:41Z
dc.date.issued2012
dc.departmentComputer Scienceen_US
dc.description.abstractIn this paper, we presented two segmentation methods. Multi-scaie 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 o f 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 o f the damage. We compared the results o f both segmentation results and the watershed segmentation outperforms the color based segmentation in all aspects.MATLAB image processing toolbox is used fo r the computation and Comparison results are shown with the segmented images.en_US
dc.identifier.urihttps://ir.avinuty.ac.in/handle/avu/2213
dc.langEnglishen_US
dc.publisher.nameInternational Journal of Soft Computing and Engineeringen_US
dc.publisher.typeInternationalen_US
dc.titleA Comparative Analysis of Watershed and Color based segmentation for Fruit Gradingen_US
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