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This article introduces how to use OpenCV to achieve edge detection in C++, the content is very detailed, interested friends can use for reference, I hope it can be helpful to you.

Introduction to Canny Edge Detection

Canny edge detection operator is a multi-level detection algorithm. It was put forward by John F. Canny in 1986, and three criteria of edge detection were put forward at the same time.

Edge detection with low error rate: the detection algorithm should accurately find as many edges in the image as possible to reduce missed detection and false detection as much as possible.

Optimal location: the detected edge point should be accurately located in the center of the edge.

Any edge in the image should be marked only once, and the image noise should not produce false edges.

Canny algorithm has been used as a standard edge detection algorithm since it appeared, and then there have been a variety of improved algorithms based on Canny algorithm. Up to now, Canny algorithm and its variants are still an excellent edge detection algorithm. And unless the prerequisites are right, it's hard to find an edge detection operator that does significantly better than the Canny operator.

Code demonstration

Create a new project opencv-0016, configure properties (VS2017 configure OpenCV common properties), and then write # include and main methods in the source file

We define an initial threshold of 40 and a maximum threshold of 255 above, and then add a method to handle the operation of Canny

Then write the method of Canny

Where our later parameter threshold is the first threshold * 2.

Then add method processing to our loop, and press u key to increase the threshold and d key to reduce the threshold

On C++ on how to use OpenCV to achieve edge 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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