利用梯形隶属函数生成模糊边缘图像

C. López-Molina, H. Bustince, Javier Fernández, B. Baets
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引用次数: 6

摘要

边缘的模糊表示在不同的著作中得到了广泛的研究。通常,对于每个像素,作者使用与图像该位置的梯度大小成线性比例的隶属度。这就相当于在梯度幅度上使用三角隶属函数。在这项工作中,我们研究了参数函数在梯度图像到模糊集的变换中的应用。用Baddeley度量法研究了不同参数函数下得到的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generation of fuzzy edge images using trapezoidal membership functions
The fuzzy representation of the edges has been widely studied in dierent works. Generally, for each pixel, the authors use membership degrees linearly proportional to the magnitude of the gradient at that position of the image. This would be equivalent to using a triangular membership functions on the gradient magnitude. In this work we study the use of parametric functions in the transformation of the gradient images into fuzzy sets. The results obtained with dierent parametrical functions are studied using Baddeley’s Delta Metric.
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