文章基本信息

标题：A Comparative Analysis of Watershed and Color based Segmentation for Fruit Grading
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作者：P.Deepa ; S.N. Geethalakshmi
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：3
页码：11-15
出版社：International Journal of Soft Computing & Engineering
摘要：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.
关键词：Fruit grading; Multiscale edge detection; watershed;segmentation; Region merging; Kmeans segmentation