Algorithms for fuzzy segmentation

Fuzzy segmentation is an effective way of segmenting out objects in picture s containing both random noise and shading. This is illustrated both on mat hematically created pictures and on some obtained from medical imaging. A t heory of fuzzy segmentation is presented. To perform fuzzy segmentation, a 'connectedness map' needs to be produced. It is demonstrated that greedy al gorithms for creating such a connectedness map are faster than the previous ly used dynamic programming technique. Once the connectedness map is create d, segmentation is completed by a simple thresholding of the connectedness map. This approach is efficacious in instances where simple thresholding of the original picture fails.