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Research and Application of Metallographical Image Edge Detection Based on Mathematical Morphology

机译:基于数学形态学的金相图像边缘检测的研究与应用

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Aimed at the characteristic of metallographical image, a specific image, and based on the multi-structural element in the mathematical morphology, a new method of edge detection is proposed in this paper to deal properly with the double- boundary and the inaccuracy of the boundary localization in the image in the edge detection carried by the traditional edge detection method, such as Roberts, Sobel, Prewitt, Log, Canny and so on. The design of the multi-structural element and the construction of the suitable morphology operator are emphasized in this paper. The experimental results indicated that this method is very effective, and is better than the traditional edge detection method.
机译:针对金相图像,特定图像的特点,并基于数学形态学中的多结构元素,提出了一种新的边缘检测方法,以正确处理双边界和边界不准确的问题。传统的边缘检测方法如Roberts,Sobel,Prewitt,Log,Canny等在边缘检测中对图像进行定位。本文着重介绍了多结构元素的设计和合适的形态算子的构造。实验结果表明,该方法非常有效,优于传统的边缘检测方法。

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