文章基本信息

标题：Improving Of the Edge Detection Using the Mixture of Fuzzy Inductive Rules and Altered Canny Algorithm
本地全文：下载
作者：MohammadAmin Edalatirad ; S. Seddeghi chaharborj
期刊名称：International Journal of Computer Science and Network Solutions
印刷版ISSN：2345-3397
出版年度：2014
卷号：2
期号：11
页码：1-14
出版社：International Journal of Computer Science and Network Solutions
摘要：The suggested method is a complex algorithm which by use of fuzzy inductive rules and changing in cannyalgorithm is going to promote edge detection in images at gray surfaces. The schedule is: First we slide a 3×3mask on the image pixel by pixel and horizontally, which is in the way that each of 8 neighboringpixels,P1,P2,P3,P4,P6,P7,P8 will transfer to the fuzzy triangular function input. In the first step, Image pixelsare set in to two groups of white and black between dominations of zero to one. This step is called “Fuzzing”.After fuzzing, an adjustment performs on fuzzy extends which includes 6 fuzzy inductive rules that perform theact of adjusting in groups with 8 members. Fuzzy system output includes 3 extends of black, white and the edgethat show fina extends in in output. The gathered results out of several images by comparison with Sobel, Cannymethod and also a similar complex method, show that this approach has better results than mentioned methods infront of being pixelated, extra lines and hidden noise
关键词：Fuzzy logic; Canny algorithm; Non maximum suppression of edges; Fuzzy membership function