Fuzzy contour detection based on a good approximation of the argument of the gradient vector

Abstract

This paper presents an edge detection algorithm whose output provides, for each pixel, the degree to which it looks like an edge pixel. The algorithm design is based on the analysis of gradient vectors' magnitudes and directions within a local neighborhood of the pixel being considered. The use of fuzzy techniques makes it possible for the algorithm to be parameter-independent for adapting it to the image to be analyzed. Moreover, since it is based on a local analysis, it can be processed in parallel, allowing real-time execution.