模糊轮廓检测基于很好的近似梯度向量的参数

C. García‐Barroso, P. Sobrevilla, A.L. Pedra, E. Montseny
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引用次数: 3

摘要

本文提出了一种边缘检测算法,它的输出为每个像素提供了它看起来像边缘像素的程度。该算法的设计基于对所考虑的像素局部邻域内梯度向量的大小和方向的分析。模糊技术的使用使算法具有参数无关性,从而使其适应待分析的图像。此外,由于它基于本地分析,因此可以并行处理,从而允许实时执行。
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Fuzzy contour detection based on a good approximation of the argument of the gradient vector
This paper presents an edge detection algorithm whose output provides, for each pixel, the degree to which it looks like an edge pixel. The algorithm design is based on the analysis of gradient vectors' magnitudes and directions within a local neighborhood of the pixel being considered. The use of fuzzy techniques makes it possible for the algorithm to be parameter-independent for adapting it to the image to be analyzed. Moreover, since it is based on a local analysis, it can be processed in parallel, allowing real-time execution.
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