Making image segmentation fully automatic by case-based-reasoning

Image segmentation methods involve a number of parameters whose values have to be tuned depending on image domain. In this communication, a watershedbased segmentation algorithm is considered and Case-Based-Reasoning is used for the automatic selection of the values that, assigned to the parameters, produce a satisfactory segmentation. In this way, the segmentation algorithm can be applied to a wider image domain.