[人工智能]opencvsharp Mat 与 halcon Hobject 图像格式相互转化

????????上次讲了bitmap 与hobject 格式的转换。这次讲一下 Mat 与hobject 格式转化方法。这种功能应该比较少有人会用到。因我主要做深度学习工业应用，我常用的图像库是opencv, 而自动化AOI部门主要用halcon，为了对接方便，我就研究了?这个内容。

????????关键点是如何将Mat 转为byte[],由于Mat 是非连续存储的，无法直接将Mat 转为数组，所以我采用一行一行循环的方式，为了提高速度，行内我采用内存复制的方式。如果采用逐点循环的方式，速度会比较慢。

?????????这个功能还是比较有用的，有次我看到opencv 群里面有个人到处询问如何将Mat 转为数组,但没人理他。

? ? ? ??

1.灰度图转换之Mat -> hobject

 public void Mat2HObjectBpp8(Mat mat, out HObject image)
        {
            int ImageWidth = mat.Width;
            int ImageHeight = mat.Height;
            int channel = mat.Channels();
            long size = ImageWidth * ImageHeight * channel;
            int col_byte_num = ImageWidth * channel;

            byte[] rgbValues = new byte[size];
            //IntPtr imgptr = System.Runtime.InteropServices.Marshal.AllocHGlobal(rgbValues.Length);
            unsafe
            {
                for (int i = 0; i < mat.Height; i++)
                {
                    IntPtr c = mat.Ptr(i);
                    //byte* c1 = (byte*)c;
                    System.Runtime.InteropServices.Marshal.Copy(c, rgbValues, i * col_byte_num, col_byte_num); // 一行一行将mat 像素复制到byte[], 
                }

                void* p;
                IntPtr ptr;
                fixed (byte* pc = rgbValues)
                {
                    p = (void*)pc;
                    ptr = new IntPtr(p);

                }

                HOperatorSet.GenImage1(out image, "byte", ImageWidth, ImageHeight, ptr);
            }

        }

? 2.灰度图转换之hobject-> Mat

 public void HObject2Mat8(HObject image, out Mat res)
        {
            HTuple hpoint, type, width, height;

            HOperatorSet.GetImagePointer1(image, out hpoint, out type, out width, out height);

            IntPtr ptr2 = hpoint;
            int bytes = width * height;
            byte[] rgbvalues = new byte[bytes];
            System.Runtime.InteropServices.Marshal.Copy(ptr2, rgbvalues, 0, bytes);
            res = new Mat(height, width, MatType.CV_8UC1, rgbvalues);

        }

?3.彩图转换之Mat-> Hobject

 public void Mat2HObjectBpp24(Mat mat, out HObject image)
        {
            int ImageWidth = mat.Width;
            int ImageHeight = mat.Height;
            int channel = mat.Channels();
            long size = ImageWidth * ImageHeight * channel;
            int col_byte_num = ImageWidth * channel;

            byte[] rgbValues = new byte[size];
            //IntPtr imgptr = System.Runtime.InteropServices.Marshal.AllocHGlobal(rgbValues.Length);
            unsafe
            {
                for (int i = 0; i < mat.Height; i++)
                {
                    IntPtr c = mat.Ptr(i);
                    //byte* c1 = (byte*)c;
                    System.Runtime.InteropServices.Marshal.Copy(c, rgbValues, i * col_byte_num, col_byte_num);
                }

                void* p;
                IntPtr ptr;
                fixed (byte* pc = rgbValues)
                {
                    p = (void*)pc;
                    ptr = new IntPtr(p);

                }
                HOperatorSet.GenImageInterleaved(out image, ptr, "bgr", ImageWidth, ImageHeight, 0, "byte", 0, 0, 0, 0, -1, 0);

            }

        }

4.彩图转换之Hobject-> Mat

?

public void HObject2Mat24(HObject image, out Mat res)
        {
            HTuple hred, hgreen, hblue, type, width, height;

            HOperatorSet.GetImagePointer3(image, out hred, out hgreen, out hblue, out type, out width, out height);

            int bytes = width * height*3;
            byte[] rgbvalues = new byte[bytes];

            unsafe
            {
                byte* r = ((byte*)hred.I);
                byte* g = ((byte*)hgreen.I);
                byte* b = ((byte*)hblue.I);

                int lengh = width * height;
                for (int i = 0; i < lengh; i++)
                {
                    rgbvalues[i * 3] = (b)[i];
                    rgbvalues[i * 3 + 1] = (g)[i];
                    rgbvalues[i * 3 + 2] = (r)[i];
                    //bptr[i * 4 + 3] = 255;
                }
            }
            res = new Mat(height, width, MatType.CV_8UC3, rgbvalues);

        }