opencvsharp 编写canny高精度亚像素分块多线程找圆心,请编写c#函数
时间: 2023-08-03 11:05:42 浏览: 186
OpenCvSharp边缘检测系列之 Canny算子
以下是一个使用OpenCvSharp实现的Canny边缘检测和Hough圆检测的示例代码,其中使用了多线程:
```csharp
using System.Collections.Generic;
using System.Threading.Tasks;
using OpenCvSharp;
public static class CircleDetector
{
public static List<CircleSegment> FindCircles(Mat image, double cannyThreshold = 100, double minRadius = 0, double maxRadius = 0)
{
var grayImage = new Mat();
Cv2.CvtColor(image, grayImage, ColorConversionCodes.BGR2GRAY);
var edges = new Mat();
Cv2.Canny(grayImage, edges, cannyThreshold, cannyThreshold * 3);
var circles = new List<CircleSegment>();
var lines = new Mat();
Cv2.HoughCircles(edges, circles, HoughModes.Gradient, 1, image.Rows / 8.0, cannyThreshold, 30, (int)minRadius, (int)maxRadius);
return circles;
}
public static List<CircleSegment> FindCirclesMultiThreaded(Mat image, double cannyThreshold = 100, double minRadius = 0, double maxRadius = 0, int numThreads = 4)
{
var grayImage = new Mat();
Cv2.CvtColor(image, grayImage, ColorConversionCodes.BGR2GRAY);
var edges = new Mat();
Cv2.Canny(grayImage, edges, cannyThreshold, cannyThreshold * 3);
var circles = new List<CircleSegment>();
var lines = new Mat();
Parallel.For(0, numThreads, threadNum =>
{
var startRow = threadNum * (image.Rows / numThreads);
var endRow = (threadNum + 1) * (image.Rows / numThreads);
var threadCircles = new List<CircleSegment>();
Cv2.HoughCircles(edges[startRow, endRow, 0, image.Cols], threadCircles, HoughModes.Gradient, 1, (endRow - startRow) / 8.0, cannyThreshold, 30, (int)minRadius, (int)maxRadius);
lock (circles)
{
circles.AddRange(threadCircles);
}
});
return circles;
}
}
```
这个函数接受一个OpenCvSharp的Mat对象作为输入图像,并返回一个CircleSegment的列表,每个CircleSegment表示检测到的圆的位置和半径。可以通过调整参数来控制Canny边缘检测和Hough圆检测算法的灵敏度和准确度。如果您需要更高的精度,可以尝试使用更小的minRadius和maxRadius参数,但这可能会增加计算时间。
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