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, ShashankAhlawat, Anil Keywords: Fuzzy LogicDigital Image ProcessingFeature ExtractionArtificial IntelligenceImage ProcessingComputer 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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