3. A method of segmenting a digital image comprising the steps of: (a) performing a preliminary segmentation of the image into sub-objects; (b) defining a model object by selecting sub-objects that define the model object; (c) providing sub-object and model object features; (d) using a fuzzy logic inference system to calculate segmentation parameters based on at least one of the sub-object and model object features; and (e) performing segmentation of the image using the segmentation parameters.
4. The method according to claim 3 wherein the segmentation parameters are smoothness, scale and shape.