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Fuzzy morpholgogy with Fuzzy adaptive structuring element and its application

机译:具有模糊自适应结构元素的模糊形态学及其应用

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Fuzzy mathematical morphology is generally a characteristic extraction method from an Ambiguous image. Fuzzy mathematical morphology is a set theoretic operation of object image and structuring element that have a shape and value. The structuring element's size, shape, and the value need to be selected before the operation, and the result of the selection will influence the applied image. In this paper, we show an end-face inspection example of fiber-connector using Fuzzy mathematical morphology using Fuzzy adaptive structuring element. Fuzzy Adaptive Structuring Element determines shapes, size and values of structuring element automatically by searching for the local region in an input image. The results show that the Fuzzy adaptive structuring element is sensitive to ambiguous images and useful for automatic inspection systems using fuzzy morphology and is effective for extraction characteristics.
机译:模糊数学形态通常是来自模糊图像的特征提取方法。模糊数学形态是具有形状和值的物体图像和结构元素的设定理论操作。在操作之前,需要选择构造元素的尺寸,形状和值,并且选择的结果将影响所施加的图像。在本文中,我们使用模糊自适应结构元件显示了模糊数学形态的光纤连接器的端面检测示例。模糊自适应结构元素通过在输入图像中搜索本地区域来自动确定结构化元素的形状,大小和值。结果表明,模糊自适应结构元素对模糊图像敏感,可用于采用模糊形态的自动检测系统,对提取特性有效。

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