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A Scallop Recognition Method Based on Fuzzy Theory

机译:一种基于模糊理论的扇贝识别方法

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摘要

In this paper, a fuzzy recognition system is established to achieve the identification and classification of scallops. Image edges were detected by the canny operator after the original images being processed to gray image and binary image. To build the fuzzy system, mean and variance of the distance between the edge and the center of target were calculated as input, and the object category as the output of the fuzzy system, and four fuzzy rules were established Based on analysis in the scallop image. The experimental results show that the proposed method is really effective.
机译:本文建立了模糊识别系统,以实现对扇贝的识别和分类。在将原始图像处理为灰度图像和二值图像之后,canny操作员检测到图像边缘。为了建立模糊系统,计算出边缘到目标中心的距离的均值和方差作为输入,将对象类别作为模糊系统的输出,并基于扇贝图像的分析建立了四个模糊规则。 。实验结果表明,该方法是有效的。

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