Edge Detection Using Adaptive-Neuro-Fuzzy-Interference-System in Remote Sensing Images

In recognizing the finger print and the face of a person, the incorrect edges are detected in the corners and bends where the intensity at the gray level is varied. The Adaptive-Neuro-Fuzzy- Interference-System (ANFIS) is introduced to overcome these in-corrections which tends to give the lasting performance in the outlines, flatness and strength of the lines which is curved at the edges. The mathematical calculations are done to conclude the decision taken. Discrete-Wavelet-Transform (DWT) is used to preprocess the image and then it is followed with the process of binary conversion of an image. The result of the proposed is compared with the algorithms of Canny, Sobel and zero-cross.