期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2011
卷号：2
期号：5
页码：2434-2439
出版社：TechScience Publications
摘要：Fuzzy logic is a key concept of artificial intelligence helps to implement the rule based algorithms that helps to find and highlight the properties of an image by checking the relative pixel values. Image processing is any form of information processing for which both the input and output are images where the images are treated as two-dimensional arrays (i.e. matrices), in which each element of the matrix corresponds to a single pixel in the displayed 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 digital image at which the image brightness changes sharply or more formally has discontinuities. In this research work Fuzzy image processing is used for edge detection, which is a collection of fuzzy logic and image processing that understand, represent and process the images as fuzzy sets. The proposed approach is begins by padding the input image and exhaustive scanning of image is done by using the sliding window of 5x5 mask, then pixel values of window are subjected to fuzzy rules designed for horizontal, vertical and diagonal direction, for comparison of pixel values with the adjacent pixels to check, whether the pixel belongs to edge region or non-edge region, an intermediate image is generated as output of fuzzy logic system. First derivative is calculated to fetch the edges from the intermediate image. At the last thinning algorithm is applied to get thin and refined edges.
