c# - 无法将 uchar ptr 转换为 opencvsharp

Question

嗨，我正在使用 Visual Studio 2008 和 C++ 来实现分水岭算法，它运行良好。但我最近正在使用 Visual Studio 2010 中的 opencvsharp 包装类将相同的代码转换为 C#。我完成了大部分代码但我无法将 uchar ptr 转换为 opencvsharp 我什至使用字节数据类型，但它不起作用。

这是 C++ 源代码的链接

code.ros.org/trac/opencv/browser/trunk/opencv/samples/c/watershed.cpp?rev=493

这就是我遇到麻烦的地方

uchar* ptr = color_tab->data.ptr + i*3;  
            ptr[0] = (uchar)(cvRandInt(&rng)%180 + 50);  
            ptr[1] = (uchar)(cvRandInt(&rng)%180 + 50);  
            ptr[2] = (uchar)(cvRandInt(&rng)%180 + 50);  

任何帮助将不胜感激。谢谢。

这是我一直在编写的 C# 代码，我无法完成代码任何帮助

using (IplImage img0 = new IplImage("1180.jpg", LoadMode.AnyDepth | LoadMode.AnyColor)){
       using (IplImage img = img0.Clone())
       using (IplImage marker_mask = new IplImage(img0.Size, BitDepth.U8, 1))
       using (IplImage markers = new IplImage(img.Size, BitDepth.S32, 1))
       using (IplImage img_gray = img0.Clone())

           using (IplImage wshed = img0.Clone()){
           wshed.Zero();
           marker_mask.Zero();

               using (CvWindow w_image = new CvWindow("image", WindowMode.AutoSize, img))
                    {
                   CvPoint prev_pt = new CvPoint(-1, -1);
                        w_image.OnMouseCallback += delegate(MouseEvent ev, int x, int y, MouseEvent flags)
                        {
                            if (ev == MouseEvent.LButtonUp || (flags & MouseEvent.FlagLButton) == 0)
                            {
                                prev_pt = new CvPoint(-1, -1);
                            }
                            else if (ev == MouseEvent.LButtonDown)
                            {
                                prev_pt = new CvPoint(x, y);
                            }
                            else if (ev == MouseEvent.MouseMove && (flags & MouseEvent.FlagLButton) != 0)
                            {
                                CvPoint pt = new CvPoint(x, y);
                                if (prev_pt.X < 0)
                                {
                                    prev_pt = pt;
                                }

                                marker_mask.Line(prev_pt,pt,Cv.ScalarAll(255),5,LineType.Link8,0);
                                img.Line(prev_pt,pt,Cv.ScalarAll(255),5,LineType.Link8,0);
                                prev_pt = pt;
                                w_image.ShowImage(img);
                            }
                        };

                    for (; ; )
                        {
                            switch (CvWindow.WaitKey(0))
                            {
                                case 27:    
                                    return;
                                case 'r':  
                                    marker_mask.Zero();
                                    img0.Copy(img);
                                    w_image.ShowImage(img);
                                    break;
                                    case 'w':   
                                    case '\r':

                                    CvSeq<CvPoint> contours;
                                    CvMat color_tab=null;
                                    int i,j,comp_count=0;

                                    CvMemStorage storage = new CvMemStorage();
                                    Cv.FindContours(marker_mask,storage, out contours);
                                    markers.Zero();

                                    for(; contours !=null; contours=contours.HNext,comp_count++){

                                       Cv.DrawContours(markers, contours, Cv.ScalarAll(comp_count+1), Cv.ScalarAll(comp_count+1),-1,-1,LineType.Link8,new CvPoint(0,0));

                                    }

                                    if(comp_count ==0){
                                    continue;

                                        color_tab=Cv.CreateMat(1,comp_count,MatrixType.U8C3);

                                        for(i=0;i<comp_count;i++){
                                            /*
                                            uchar* ptr = color_tab->data.ptr + i*3;  
                                            ptr[0] = (uchar)(cvRandInt(&rng)%180 + 50);  
                                            ptr[1] = (uchar)(cvRandInt(&rng)%180 + 50);  
                                            ptr[2] = (uchar)(cvRandInt(&rng)%180 + 50);
                                             */


                                        }
                                        {
                                            double t =(double)Cv.GetTickCount();
                                            Cv.Watershed(img0,markers);
                                            Cv.Save(markers,"img0.xml");
                                            t=(double)Cv.GetTickCount()-t;
                                            Console.WriteLine("exec time = %gms\n",t/(Cv.GetTickFrequency()*1000));
                                        }
                                         // paint the watershed image 
                                        for(i=0;i<markers.Height;i++)
                                            for(j=0;i<markers.Width;j++)
                                        {
                                        int idx = 

                                        }
                                                Cv.AddWeighted(wshed,0.5,img_gray,0.5,0,wshed);
                                                Cv.ShowImage("watershed transform",wshed);
                                                Cv.ReleaseMat(color_tab);
                                    }


                                    }

                                    return 0;
       }



    }
}

谢谢 torak，但似乎它不起作用，我修改了这样的 C# 代码

unsafe{

                                                 CvRNG rng = new CvRNG(); 

                                            byte* ptr = (byte*)color_tab.Data.ptr +i*3;

                                            ptr[0] = (byte)(Cv.RandInt(rng)%180 + 50);  
                                            ptr[1] = (byte)(Cv.RandInt(rng)%180 + 50);  
                                            ptr[2] = (byte)(Cv.RandInt(rng)%180 + 50);

                                            }

它没有给出任何错误，但我不确定输出，我现在遇到了一个新问题。我无法将 c++ 代码中的宏 CV_IMAGE_ELEM() 转换为 c#。任何人都可以帮忙。谢谢你评论

这就是我在 C++ 代码中遇到麻烦的地方。完整的 C++ 代码显示在问题的开头

// paint the watershed image  
        for( i = 0; i < markers->height; i++ )  
            for( j = 0; j < markers->width; j++ )  
            {  
                int idx = CV_IMAGE_ELEM( markers, int, i, j );//markersIPL_DEPTH_32S  
                uchar* dst = &CV_IMAGE_ELEM( wshed, uchar, i, j*3 );//BGR,j*3  
                if( idx == -1 ) //-1?  
                    dst[0] = dst[1] = dst[2] = (uchar)255;  
                else if( idx <= 0 || idx > comp_count )  //  
                    dst[0] = dst[1] = dst[2] = (uchar)0; // should not get here  
                else //  
                {  
                    uchar* ptr = color_tab->data.ptr + (idx-1)*3;  
                    dst[0] = ptr[0]; dst[1] = ptr[1]; dst[2] = ptr[2];  
                }  
            }  

Answer 1

快速查看后，您的数据方式似乎是使用 color_tab 的适当 DataArray... 成员。在您的情况下，这将是 color_tab.DataArrayByte[...] 产生类似以下内容:

for (i = 0; i < comp_count * 3; i++)
  ptr[i] = (byte)(cvRandInt(...) % 180 + 50);  

我还没有研究过随机数生成，因此我目前无法测试它，但我怀疑它可以解决您的问题。手指交叉。