Abstract

In this paper, a new method to edge detection in blurred images, like radiological ones, has been developed. It is based on fuzzy systems, in order to incorporate the expert knowledge about the images. Fuzzy logic is used to obtain the edge of a bone in a radiological image without being forced to adjust the system. Classical algorithms, like Sobel filter, obtain similar results, but the final user needs to modify different parameters in order to adapt the accuracy of the resulting image. The robustness of the fuzzy system allows in a second step to process the resulting image in order to detect different shapes. This second process will be used for automatic medical analysis. An illustrative computational fuzzy edge detector system has been implemented and its performance evaluated.