基于模糊梯度和标准差值的边缘检测

2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA) Pub Date : 2011-12-01 DOI:10.1109/ICCIAUTOM.2011.6184015

Yongning Guo, S. Sun, Chenglian Liu

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引用次数: 0

摘要

提出了一种新的基于模糊的边缘检测算法。本文首先计算梯度值和标准差值，形成两组边缘，并将其作为模糊系统的输入。然后在高斯函数的基础上，根据模糊规则确定每个像素。最后进行去模糊化，并与Sobel、Robert和Prewitt等算法的结果进行了比较。实验结果表明了该算法的能力和良好的性能。为了提高模糊系统的性能，今后还需要做一些工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Edge detection based on fuzzy gradient and standard deviation values

This paper presents a new fuzzy based edge detection algorithm. In this paper, first both gradient and standard deviation values are computed, form two set of edges, and are utilized as inputs for our fuzzy system. Then based on the Gaussian function, fuzzy system decides on each pixel according to fuzzy rules. Finally defuzzification is made and we have compared results of the proposed algorithm with other algorithms such as Sobel, Robert, and Prewitt. Experimental results show the ability and high performance of proposed algorithm. Some jobs should be done in the future to improve fuzzy system performance.

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2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)

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