前言
程序设计过程，有时也需要对图像进行一些简单操作，C#没有现成的图像处理库，但有人对OpenCV进行了包装，我们可以很方便的使用OpenCvSharp对图像进行操作。当然了，这也需要使用的人员进行一些研究，但相对于C++版本，它已经非常友好了。
1、显示图像
代码：
private void button1_Click(object sender, EventArgs e)
{
//读取图像为灰度图
panda = new Mat("1.jpg", ImreadModes.Color);
//把Mat格式的图片转换成Bitmap
Bitmap bitmap = BitmapConverter.ToBitmap(panda);
//显示图片
pictureBox2.Image = bitmap;
}效果：
2、绘制元素
代码：
private void DrawObject()
{
//画圆方法
Cv2.Circle(panda, new OpenCvSharp.Point(100, 100), 100, new Scalar(0, 69, 255), 5); //以宽度画圆 不填充
Cv2.Circle(panda, new OpenCvSharp.Point(300, 100), 100, new Scalar(0, 69, 255), -1); //当为负数的时候，进行画整圆 填充，C++用FILLED进行代替
//画矩形
Cv2.Rectangle(panda, new OpenCvSharp.Point(100, 260), new OpenCvSharp.Point(400, 400), new Scalar(141, 218, 86), 3);
//画线
Cv2.Line(panda, new OpenCvSharp.Point(200, 300), new OpenCvSharp.Point(350, 400), new Scalar(87, 176, 174), 3);
//绘制文字
Cv2.PutText(panda, "Please advise!", new OpenCvSharp.Point(200, 500), HersheyFonts.HersheyDuplex, 0.75, new Scalar(193, 242, 75));
Random random = new Random();
Vec3b vec = new Vec3b(255, 255, 255);
for (int i = 0; i < 3000; i++)//30000个点
{
int row = random.Next(panda.Rows);
int col = random.Next(panda.Cols);
//char white = (char)255;
panda.Set(row, col, vec);
}
//把Mat格式的图片转换成Bitmap
Bitmap bitmap = BitmapConverter.ToBitmap(panda);
//显示图片
pictureBox2.Image = bitmap;
}效果：
3、图像数据操作
代码：
private void Test()
{
Console.WriteLine("开始生成图片:" + DateTime.Now.ToString("yyyy-MM-dd HH:mm:ss:fff"));
int imageWidth = 1024;
int imageHeight = 128;
ushort[] orginImgData = new ushort[imageHeight * imageWidth];
string filename = "123.bmp";
Random random = new Random();
for (int i = 0; i < imageWidth; i++)
{
for (int j = 0; j < imageHeight; j++)
{
orginImgData[i * imageHeight + j] = (ushort)random.Next(0, 65535);
}
}
GenImage(imageWidth, imageHeight, orginImgData, filename);
}
private void GenImage(int imageWidth, int imageHeight, ushort[] orginImgData, string filename)
{
int row = (int)imageWidth;
int col = (int)imageHeight;
Mat picMat = new Mat(row, col, MatType.CV_16UC1);
int r = 0;
int c = 0;
unsafe
{
for (r = 0; r < row; r++)
{
IntPtr p = picMat.Ptr(r);
ushort* pp = (ushort*)p.ToPointer();
for (c = 0; c < col; c++)
{
// picMat.Set<ushort>(r,c, orginImgData[r * col + c]);
pp[c] = orginImgData[r * col + c];
}
}
Cv2.ImWrite(filename, picMat);
}
picMat.Dispose();
Console.WriteLine("结束生成图片:" + DateTime.Now.ToString("yyyy-MM-dd HH:mm:ss:fff"));
}效果：
4、操作摄像头
代码：
Task.Run(() =>
{
//VideoCapture cap = new VideoCapture(1, VideoCaptureAPIs.DSHOW);
VideoCapture cap = new VideoCapture(0, VideoCaptureAPIs.ANY);
// VideoCapture cap = new VideoCapture(path, VideoCaptureAPIs.ANY);
Mat img = new Mat();
while (true)
{
cap.Read(img);
if (!img.Empty())
{
//把Mat格式的图片转换成Bitmap
Bitmap bitmap = BitmapConverter.ToBitmap(img);
//显示图片
pictureBox1.Image = bitmap;
}
else
{
Console.WriteLine("ERROR|NO IMG");
break;
}
Thread.Sleep(1);
}
});效果：
5、播放电影
代码：
Task.Run(() =>
{
string path = @"D:\狄仁杰之亢龙有悔.mkv";
//VideoCapture cap = new VideoCapture(1, VideoCaptureAPIs.DSHOW);
// VideoCapture cap = new VideoCapture(0, VideoCaptureAPIs.ANY);
VideoCapture cap = new VideoCapture(path, VideoCaptureAPIs.ANY);
Mat img = new Mat();
while (true)
{
cap.Read(img);
if (!img.Empty())
{
//Cv2.ImShow("Video", img);
//把Mat格式的图片转换成Bitmap
Bitmap bitmap = BitmapConverter.ToBitmap(img);
//显示图片
pictureBox1.Image = bitmap;
}
else
{
Console.WriteLine("ERROR|NO IMG");
break;
}
Thread.Sleep(1);
}
});效果：
