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- W2576521491 abstract "This research investigates the performance of a region-based segmentation, K-Means clustering and Fuzzy C-Means (FCM) for two types of orchid Vanda and Ascocentrum genus. Orchid is the largest family of angiosperms. Among this orchid, Vanda and Ascocentrum are the most famous vandaceous. Some of the orchids have the same color, shape, and appearance. Florist sometimes makes mistakes due to this similarity of orchid species. For further research in orchid recognition, segmentation is important to eliminate the surrounded greenery background. Thus, a comparative study between K-Means clustering and FCM is proposed. Experimental results showed that K-Means clustering achieved better results than FCM based on Area Overlap, False Positive Rate and False Negative Rate evaluations." @default.
- W2576521491 created "2017-01-26" @default.
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- W2576521491 date "2016-08-01" @default.
- W2576521491 modified "2023-09-24" @default.
- W2576521491 title "K-means vs. fuzzy C-means for segmentation of orchid flowers" @default.
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- W2576521491 doi "https://doi.org/10.1109/icsgrc.2016.7813306" @default.
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