Detecting Edges in an Image with the Help of Fuzzy Parameters

Abstract

In this research paper a novel image processing technique based on fuzzy logic has been proposed to detect edges in an image. The algorithm formulated for this purpose utilizes the concept of Attanassov's intuitionistic theory of fuzzy sets, which takes into account a hesitation degree. From this parameter, a new distance measure has been derived, which is termed as the intuitionistic fuzzy divergence or IFD, and is used for calculating the edges. The results obtained are better when compared to other edge detection techniques.