Canny Edge Image - 去噪

本文介绍了Canny Edge Image - 去噪的处理方法，对大家解决问题具有一定的参考价值

问题描述

我有一个球的 Canny 边缘检测图像(见下面的链接)，其中包含很多嘈杂的边缘.在不去除属于球的边缘的情况下，我可以使用哪些最佳图像处理技术来去除这些嘈杂的边缘?

I have a Canny edge detected image of a ball (see link below) which contains a lot of noisy edges. What are the best image processing techniques that I can use to remove these noisy edges without removing the edges belonging to the ball?

原图

Canny 边缘图像

非常感谢大家的帮助和建议，非常感谢！

Many thanks everyone in advance for your help and advice, much appreciated!

Ps 在使用圆形霍夫变换检测球之前，我正在尝试清理边缘图像.

Ps I am trying to clean up the edge image prior to using the Circle Hough Transform to detect the ball.

推荐答案

最好的选择是在应用边缘检测器之前过滤图像.为了保持锐利的边缘，您需要使用比高斯模糊更复杂的过滤器.

The best option is to filter the image before applying the edge detector. In order to keep the sharp edges you need to use a more sophisticated filter than the Gaussian blur.

两个简单的选项是双边过滤器或引导过滤器.这两个滤波器非常容易实现，并且在大多数情况下都能提供良好的结果:高斯噪声去除保留边缘.如果你需要更强大的东西，你可以试试过滤器BM3D，这是状态之一-of-the-art 过滤器，您可以在此处找到开源实现.

Two easy options are the Bilateral filter or the Guided filter. These two filters are very easy to implement and they provide good results in most cases: gaussian noise removal preserving edges. If you need something more powerful, you can try the filter BM3D, which is one of the state-of-the-art filters, and you can find an open source implementation here.

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Canny Edge Image - 去噪

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