About this Computer Science article
Spatial Models for Fuzzy Clustering by Dzung L. Pham is a Computer Science article available to read on EtoBox.
A novel approach to fuzzy clustering for image segmentation is described. The fuzzy C-means objective function is generalized to include a spatial penalty on the membership functions. The penalty term leads to an iterative algorithm that is only slightly different from the original fuzzy C-means algorithm and allows the estimation of spatially smooth membership functions. To determine the strength of the penalty function, a criterion based on cross-validation is employed. The new algorithm is applied to simulated and real magnetic resonance images and is shown to be more robust to noise and other artifacts than competing approaches.
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- Author
- Dzung L. Pham
- Publisher
- Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 1077-3142)
- Published
- 2001
- Language
- EN
- Field
- Computer Science (Physical Sciences)