Fuzzy Edge Filter-Edge Detection and Feature Extraction Technique for Any JPEG Image

Edge detection is a terminology in image processing and computer vision, particularly in the areas of feature detection and feature extraction, to refer to algorithms which aim at identifying points in a image. This paper highlights the ways to detect edges at five different levels which will help in pattern recognition and feature extraction with the use of fuzzy logic a method well known in Artificial intelligence. The fuzzy edge filter technique is an operator introduced in order to simulate at a mathematical level the compensatory behavior in process of decision making or subjective evaluation. The following paper introduces such operators on hand of computer vision application and supported with MATLAB 7.5. Our fuzzy edge filter detects different classes of image pixels corresponding to gray level variation in the various directions. The goal in this case is to determine in which points in the image the first derivative of the gray level as a function of position is of high magnitude. By applying the variable threshold value to get the new output image, edges are formed in all arbitrary directions.