OpenCvSharp.Mat mat = OpenCvSharp.Extensions.BitmapConverter.ToMat(bitmap);//用 //bitmap转换为mat C#中Bitmap 与 Image 之间的转换 Image img = pictureBox1.Image; Bitmap map = new Bitmap(img); //而Bitmap直接可以赋值 给 Image 对象 Image img = Bitmap;...
//Mat mat = OpenCvSharp.Extensions.BitmapConverter.ToMat(bitmap);//bitmap转mat//mat = mat.CvtColor(ColorConversionCodes.GRAY2RGB);//转彩色图像//mat = DrawCross(mat, new System.Drawing.Point(640, 512), 0.0, 1000, Scalar.Red, 2);Bitmap bitmap; bitmap= OpenCvSharp.Extensions.BitmapConve...
//转为 bitmap方法一: Bitmap map=OpenCvSharp.Extensions.BitmapConverter.ToBitmap(mat);process_pictureBox.Image=map;//转为 bitmap方法二: Bitmap map=new Bitmap(mat.ToMemoryStream());process_pictureBox.Image=map;//Image img 转为Mat Bitmap bitmap=new Bitmap(img);//Image img OpenCvSharp.Ma...
14. 这里有一点要注意一下, BitmapConverter.ToBitmap(Mat)方法需要添加引用OpenCvSharp.Extensions,通过Nuget搜索导入即可。这里用到的是将Mat->Bitmap方法。 这里对于Canny算法还没理解透彻,threshold阈值不是很懂,进而查找资料继续学习Canny算法。 3.1Canny算法过程 应用高斯滤波来平滑图像,目的是去除噪声 找寻图像的...
Cv2.Filter2D(mat,mat,mat.Type,kernel); Cv2.ConvertScaleAbs(mat,mat); if(pictureBox2.Image!=null) { pictureBox2.Image.Dispose; } pictureBox2.Image=OpenCvSharp.Extensions.BitmapConverter.ToBitmap(mat); } ///<summary> ///USM锐化
Cv2.Filter2D(mat, mat, mat.Type(), kernel); Cv2.ConvertScaleAbs(mat, mat); if (pictureBox2.Image != null) { pictureBox2.Image.Dispose(); } pictureBox2.Image = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(mat); } /// <summary> ...
voidShowImg(Matmat) { pictureBox2.Image=OpenCvSharp.Extensions.BitmapConverter.ToBitmap(mat); } privatevoidtBarThreshold_Scroll(objectsender,EventArgse) { if(tBarMaxval.Value<tBarThresh.Value) { tBarThresh.Value=tBarMaxval.Value; } Threshold; ...
lstDataMatrixCode = dmtxImageDecoder.DecodeImage(BitmapConverter.ToBitmap(m.DmMat)); 实测640x480的图片解码需要4~6s (i75600 2.4GHz 笔记本电脑) 所以基本思路就是将每帧的图片进行裁剪,只提取需要的区域,能大大减少运算量,同时,需要寻找二维码的区域,也可以定位二维码的所在位置。代码如下: ...
publicvoidToBitmapGrayScale() { Mat img =newMat(FilePath.Image.Lenna511, ImreadModes.GrayScale);// width % 4 != 0 Bitmap bitmap = BitmapConverter.ToBitmap(img); // Bitmap bitmap = img.ToBitmap(); using(varform =newForm()) ...
returnmat.ToBitmap; } public Mat Preprocess(string imgPath) { Mat dilation2 = new Mat; //读取灰度图 using (Mat src = new Mat(imgPath, ImreadModes.Grayscale)) { //1.Sobel算子,x方向求梯度 Mat sobel = new Mat; Cv2.Sobel(src, sobel, MatType.CV_8U, 1, 0, 3); ...