Unsupervised segmentation method for brain MRI based on fuzzy techniques
Abstract: Segmentation of MR images was formulated in this thesis as the problem of partitioning a set of feature vectors obtained from an MR image into a relatively small number of clusters. Segmentation of MR images is formulated as an unsupervised vector quantization process, where the local values of different relaxation parameters form the feature vectors which are represented by a relatively small set of prototypes.