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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1103

Title: Application of Fuzzy Logic on Image Edge Detection
Authors: Mathur, Shashank
Ahlawat, Anil
Keywords: Fuzzy Logic
Digital Image Processing
Feature Extraction
Artificial Intelligence
Image Processing
Computer Vision
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: In this paper a novel method for an application of digital image processing, Edge Detection is developed. The contemporary Fuzzy logic, a key concept of artificial intelligence helps to implement the fuzzy relative pixel value algorithms and helps to find and highlight all the edges associated with an image by checking the relative pixel values and thus provides an algorithm to abridge the concepts of digital image processing and artificial intelligence. Exhaustive scanning of an image using the windowing technique takes place which is subjected to a set of fuzzy conditions for the comparison of pixel values with adjacent pixels to check the pixel magnitude gradient in the window. After the testing of fuzzy conditions the appropriate values are allocated to the pixels in the window under testing to provide an image highlighted with all the associated edges.
URI: http://hdl.handle.net/10525/1103
ISSN: 1313-0455
Appears in Collections:Book 5 Intelligent Technologies and Applications

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