Image Segmentation Based on Adaptive Cluster Prototype Estimation.

Image Segmentation Based on Adaptive Cluster Prototype Estimation.

An image segmentation algorithm based on adaptive fuzzy c-means (FCM) clustering is presented in this paper. In the conventional FCM clustering algorithm, cluster assignment is based solely on the distribution of pixel attributes in the feature space, and does not take into consideration the spatial...

Descrición completa

Detalles Bibliográficos
Publicado en:IEEE Transactions on fuzzy systems 13, 4 (2005).
Autor Principal: Liew, A.W.-C
Formato: Artigo
Idioma:English
Subjects:
Adaptive cluster prototype estimation.
Adaptive fuzzy c-means clustering.
Color images.
Contextual information.
Image segmentation.
Inter-pixel correlation.
Spatial distribution.