Fuzzy image processing based on spatial convolution operators

This paper presents a method for image processing based on a set of fuzzy inference rules. These rules generate a mapping by considering the results obtained from the convolutional operation between classic operators and a given image. The spatial convolution masks are selected due their easy implementation. Experimental results reveal some promising applications of the proposed method.