文章基本信息

标题：Novel Edge Detection Using Adaptive Neuro-Fuzzy Inference System
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作者：Suryakant ; Renu Dhir
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：5
出版社：S.S. Mishra
摘要：This paper proposes the implementation of a very simple but efficient Adaptive Neuro-Fuzzy Inference System ( ANFIS )based algorithm to detect the edges of an gray scale image. The proposed approach begins by scanning the images using floating 3x3 pixel window. ANFIS system designed has 8 inputs, which corresponds to 8 pixels of instantaneous scanning matrix, one output that tells whether the pixel under consideration is "edge" pixel or a background pixel. The internal parameters of the proposed ANFIS edge detector are optimized by training using a proposed dataset. The edges are directly determined by ANFIS network. The results of proposed method are compared with the linear Sobel operator and Roberts operator
关键词：Adaptive Neuro-Fuzzy Inference System; Edge Detection;Sobel Operator; Roberts Operator