Open AccessEdge Detection Fuzzy Inference System
Author(s) -
Er. Vishal Paika,
Er. Pankaj Bhambri
Publication year - 2013
Publication title -
international journal of management and information technology
Language(s) - English
Resource type - Journals
ISSN - 2278-5612
DOI - 10.24297/ijmit.v4i1.811
Subject(s) - pixel , sobel operator , edge detection , computer vision , artificial intelligence , canny edge detector , computer science , enhanced data rates for gsm evolution , fuzzy logic , line (geometry) , deriche edge detector , morphological gradient , image processing , image (mathematics) , mathematics , geometry
In this paper a method has been developed for automatic edge detection of an digital image. An edge is made up of those pixels at which there is an abrupt change in the intensity. These pixels are known as edge pixels and are connected to give an edge. In this paper we have developed a mamdanis fuzzy inference system in MATLAB 2008 using fuzzy logic tool box. A smallest possible 2X2 window is used as a scanning mask. Mask slides over the whole image pixel by pixel, first horizontally in topmost horizontal line then after reaching at the end of line, it increments to check the next vertical location and it continues till the whole image is scanned. The FIS built has 4 inputs, each input representing a pixel for 2X2 mask, and 1 output that represents pixel under consideration. The rule editor consists of sixteen fuzzy rules. The results thus obtained are compared with Sobel edge operator and Canny edge operator.