Edge detection techniques using fuzzy logic

This article reviews and discusses the fuzzy system implementation as an efficient edges detector for the image. Authors that suggested this method used different ways to feed the fuzzy system and different membership functions that depend on the characteristics of the data input. Some techniques feed the data directly with a 2×2 or 3×3 window others process the data with filters before feeding the fuzzy system. The analysis to the input method revealed that fuzzy system can be coined according to their feeding method to Sliding Window and Preprocessing Kernels fuzzy systems. The article is organized according to this naming and the method of each technique has been discussed. MATLAB codes had been implemented to compare the performance of each method on the same image.