Multiseeded segmentation using fuzzy connectedness

Fuzzy connectedness has been effectively used to segment out an object in a badly corrupted image. We generalize the approach by providing a definitio n which is shown to always determine a simultaneous segmentation of multipl e objects. For any set of seed points, the segmentation is uniquely determi ned by the definition. An algorithm for finding this segmentation is presen ted and its output is illustrated. The algorithm is fast as compared to oth er segmentation algorithms in current use. We also report on an evaluation of the accuracy and robustness of the algorithm based on experiments in whi ch several users were repeatedly asked to identify the seed points for the algorithm in a number of images.