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Fuzzy morphological operators to edge enhancing of images

机译:模糊形态算子对图像的边缘增强

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A fuzzy morphological edge enhancing operator is presented in this paper. An image is mapped into a fuzzy set by this operator. The theory of fuzzy set is used to describe the fuzzy degree of an edge. By changing the membership function with nonlinear operators, the purpose of enhancing the gradient of fuzzy edges can be achieved. It is showed by computer simulations that the gradient of edges is enhanced by fuzzy morphological edge enhancing operator and, then, the structure and feature of images are strengthened and edges can be easily extracted.
机译:本文提出了一种模糊形态学边缘增强算子。该操作员将图像映射到模糊集。模糊集理论用于描述边缘的模糊度。通过用非线性算子改变隶属函数,可以达到提高模糊边缘梯度的目的。计算机仿真表明,利用模糊形态学边缘增强算子可以增强边缘的梯度,进而增强图像的结构和特征,并易于提取边缘。

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