FUZZY EDGE AND CORNER DETECTION BY USING ADAPTIVE THRESHOLDING

Abstract

In this thesis the work is performed on edge and corner detection of an image. We are using SUSAN principle to extract the edges and corners of an image. From SUSAN principle we take USAN area. Gray level has been replaced by the USAN area. From USAN area we calculate fuzzifier and membership function. Here we are using piecewise membership function. Applying proper adoptive thresholding to it and get the edges and corner of an image. The result is depend upon the value of two parameters, (1) threshold’s of comparison equation for calculation of USAN area, (2)mean of adoptive thresholding. By varying these two values we are getting different results. When we receive proper result then that result will compare with Canny’s edge detector and SUSAN’s edge and corner detector. Results show that this edge detector is immensely suitable for applications such as palm print and fingerprint identification or any type of images, as it does not distort the shape and is able to retain the import...