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위험기계의 자동화를 위한 2차원 영상의 군집화 기법 비교 연구
Comparision of Clustering Methods in 2D Image for the Atomation of Dangerous Machine
이지용 , 이병곤 ( Ji Yong Lee , Byung Kon Lee )
UCI I410-ECN-0102-2008-530-002067304
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In this study, clustering of black BADUK stones` image were performed to recognize the individual stone from its closely spaced and partially occluded image. And the clustering perfomance was compared between the classical methods and fuzzy C-means method. As a result, 2 BADUK stones` image was segmented precisely in every methods, but more than 3 stones the segmentation was depended on its shape. Fuzzy C-means method could be segmented correctly to 4 stones regardless of its shape, and it could be applied to the unknown number of clusters.

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