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

机译:基于自适应重量多结构元素数学形态学的边缘检测算法

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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尽可能多地检测图像的ED,同时有效地抑制NOI。旨在达到这一目标,本文基于I的本地图像H提出自适应重量多结构形态学的数学形态学边缘检测算法。该方法已经解决了图像边缘检测失真,这是由作用在本地图像上的整个结构Weig引起的。主要步骤是随后段图像,通过OSTU的二进制局部图像,然后使用自适应多结构数学形态来析出边缘。实验结果表明TT方法准确地反映了原始IMA信息的边缘方向,显示出更好的抗噪性AI精度。

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