A Scallop Recognition Method Based on Fuzzy Theory

Honglei Wei, Mei Yang, Xiaodan Liu
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Abstract

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.
基于模糊理论的扇贝识别方法
本文建立了一个模糊识别系统来实现扇贝的识别和分类。将原始图像处理为灰度图像和二值图像后,利用canny算子检测图像边缘。在构建模糊系统的过程中,计算目标边缘到中心距离的均值和方差作为输入,目标类别作为模糊系统的输出,在对扇贝图像进行分析的基础上,建立了4条模糊规则。实验结果表明,该方法是有效的。
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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