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MULTI-GRAY EDGE DETECTION BASED ON GENERALIZED FUZZY SET

机译:基于广义模糊集的多灰度边缘检测

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摘要

In this letter, drawbacks of the classical algorithm to enhance the fuzzy contrast among adjacent regions are analyzed. Based on it, a new fuzzy enhancement algorithm and a linear fuzzy distribution that maps the gray images to corresponding generalized fuzzy set are proposed. Results of two examples illustrate that the algorithm is more effective and faster when used to detect the multi-level edges of images.
机译:在这封信中,分析了经典算法增强相邻区域之间模糊对比的缺点。在此基础上,提出了一种新的模糊增强算法和将灰度图像映射到相应的广义模糊集的线性模糊分布。两个示例的结果表明,该算法在用于检测图像的多级边缘时更有效,更快。

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