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An Edge Detection Algorithm Based on Adaptive Weight Multi-structure Element Mathematical Morphology

机译:基于自适应权重多结构元素数学形态学的边缘检测算法

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摘要

The key of image edge detection is to detect the ed of the image as much as possible meanwhile restrain noi effectively. Aimed to achieve this objective, this paper h proposed adaptive weight multi-structure eleme mathematical morphology edge detection algorithm based i local images. This method has solved the image edge detecti distortion, which is resulted from the whole structures weig acting on the local images. The main steps are as the followin segment the image, binary local image via OSTU, then dete the edge using adaptive multi-structure mathematic morphology. The experiment results demonstrated that tt method reflects the edge direction of original ima information accurately, showing better noise immunity ai accuracy.
机译:图像边缘检测的关键是在有效抑制噪声的同时,尽可能多地检测图像的边缘。为了达到这个目的,本文提出了一种基于局部图像的自适应加权多结构要素数学形态学边缘检测算法。这种方法解决了图像边缘检测失真,这是由于整个结构在局部图像上作用而产生的。主要步骤如下:通过OSTU对图像进行二值化局部图像分割,然后使用自适应多结构数学形态学检测边缘。实验结果表明,tt方法能够准确地反映原始图像信息的边缘方向,具有更好的抗噪性和准确性。

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