1. A computer-implemented method of segmenting images comprising the steps of: receiving a first image; receiving a first segment in relation to the first image; displaying to an observer the first image and the first segment; receiving from an observer a modification to the first segment; receiving a second image; and generating a second segment in relation to the second image, said generation responsive to the modification received from the observer, said generation using a learning scheme comprising a fuzzy inference system to optimize at least one segmentation parameter, in which the fuzzy inference system re-generates a rule base to output the at least one segmentation parameter from at least one image feature.