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Edge detection techniques using fuzzy logic

机译:使用模糊逻辑的边缘检测技术

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This article reviews and discusses the fuzzy system implementation as an efficient edges detector for the image. Authors that suggested this method used different ways to feed the fuzzy system and different membership functions that depend on the characteristics of the data input. Some techniques feed the data directly with a 2×2 or 3×3 window others process the data with filters before feeding the fuzzy system. The analysis to the input method revealed that fuzzy system can be coined according to their feeding method to Sliding Window and Preprocessing Kernels fuzzy systems. The article is organized according to this naming and the method of each technique has been discussed. MATLAB codes had been implemented to compare the performance of each method on the same image.
机译:本文回顾并讨论了模糊系统作为图像有效边缘检测器的实现。提出该方法的作者使用了不同的方法来馈送模糊系统,并根据数据输入的特征使用了不同的隶属函数。一些技术直接通过2×2或3×3窗口馈送数据,另一些技术在馈送模糊系统之前使用过滤器处理数据。对输入法的分析表明,模糊系统可以根据它们对滑动窗口和预处理内核模糊系统的馈送方法而产生。本文是根据这种命名进行组织的,并且已经讨论了每种技术的方法。已经实现了MATLAB代码,以比较每种方法在同一张图像上的性能。

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