opencvsharp提取拐点并输出角点坐标
时间: 2023-08-03 13:03:03 浏览: 122
要使用OpenCvSharp提取拐点并输出角点坐标,可以按照以下步骤进行:
1. 导入OpenCvSharp库
```csharp
using OpenCvSharp;
```
2. 读取图像
```csharp
Mat image = Cv2.ImRead("image.jpg", ImreadModes.Color);
```
3. 灰度化图像
```csharp
Mat grayImage = new Mat();
Cv2.CvtColor(image, grayImage, ColorConversionCodes.BGR2GRAY);
```
4. 提取角点
```csharp
Mat cornerImage = new Mat();
Cv2.CornerHarris(grayImage, cornerImage, 2, 3, 0.04);
```
5. 标记角点并输出坐标
```csharp
for (int y = 0; y < cornerImage.Rows; y++)
{
for (int x = 0; x < cornerImage.Cols; x++)
{
if (cornerImage.At<float>(y, x) > 0.01)
{
Cv2.Circle(image, x, y, 5, new Scalar(0, 0, 255), 2);
Console.WriteLine("Corner found at ({0},{1})", x, y);
}
}
}
```
6. 显示图像
```csharp
Cv2.ImShow("Corner Detection", image);
Cv2.WaitKey(0);
```
完整代码如下:
```csharp
using System;
using OpenCvSharp;
namespace CornerDetection
{
class Program
{
static void Main(string[] args)
{
Mat image = Cv2.ImRead("image.jpg", ImreadModes.Color);
Mat grayImage = new Mat();
Cv2.CvtColor(image, grayImage, ColorConversionCodes.BGR2GRAY);
Mat cornerImage = new Mat();
Cv2.CornerHarris(grayImage, cornerImage, 2, 3, 0.04);
for (int y = 0; y < cornerImage.Rows; y++)
{
for (int x = 0; x < cornerImage.Cols; x++)
{
if (cornerImage.At<float>(y, x) > 0.01)
{
Cv2.Circle(image, x, y, 5, new Scalar(0, 0, 255), 2);
Console.WriteLine("Corner found at ({0},{1})", x, y);
}
}
}
Cv2.ImShow("Corner Detection", image);
Cv2.WaitKey(0);
}
}
}
```
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