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This article will explain in detail how to use OpenCV to achieve circle detection in C++. The content of the article is of high quality, so the editor shares it for you as a reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

Hough circle transformation

The basic idea of Hough circle transformation is that every non-zero pixel on the image may be a potential point on a circle. Like Hoff line transformation, it is also through voting to generate a cumulative coordinate plane and set a cumulative weight to locate the circle. As shown below:

Related API introduction

Cv::HoughCircles

Code demonstration

Create a new project opencv-0018, configure properties (VS2017 configure OpenCV common properties), and then write # include and main methods in the source file

Because we want to find a circle, this time we changed a picture. When we run it, we will show both the original picture and the target picture together.

Hoff circle detection

Speak fluently

Change to grayscale image

Median filtering

Hoff circle detection

Draw it on the source map.

On C++ on how to use OpenCV to achieve circle detection to share here, I hope the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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