Effective Image Segmentation using a Locally Weighted Fuzzy C-Means Clustering
지역 가중치 적용 퍼지 클러스터링을 이용한 효과적인 이미지 분할

Nyma Alamgir, Jong-Myon Kim
2012 Journal of the Korea Society of Computer and Information  
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