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Effective Image Segmentation using a Locally Weighted Fuzzy C-Means Clustering
지역 가중치 적용 퍼지 클러스터링을 이용한 효과적인 이미지 분할
2012
Journal of the Korea Society of Computer and Information
지역 가중치 적용 퍼지 클러스터링을 이용한 효과적인 이미지 분할
Preserved Fulltext
This paper proposes an image segmentation framework that modifies the objective function of Fuzzy C-Means (FCM) to improve the performance and computational efficiency of the conventional FCM-based image segmentation. The proposed image segmentation framework includes a locally weighted fuzzy c-means (LWFCM) algorithm that takes into account the
doi:10.9708/jksci/2012.17.12.083
fatcat:5wvg4himgbdgllnyfxqidklmjm