C#和C++哪个更高效?五方式图像计算实验-技术开发专区

C#和C++哪个更高效?五方式图像计算实验

作者：xiaotie博客编辑：胡铭娅 2010-03-09 11:51 来源：xiaotie

using System;
using System.Collections.Generic;
using System.Runtime.InteropServices;
using System.Diagnostics;
using System.Linq;
using System.Text;
using System.Drawing;
using System.Drawing.Imaging;
using Orc.SmartImage;
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.CV.CvEnum;
using Orc.SmartImage.Gpu;
using Orc.SmartImage.UnmanagedObjects;

namespace Orc.SmartImage.PerformanceTest
{
    public class PerformanceTestCase0
    {
        public static String Test(IntPtr hwnd, Bitmap src, int count)
        {
            Shader sd = new Shader(hwnd);

//            ArgbImage8 img8 = ArgbImage8.CreateFromBitmap(src);
            Argb32Image img32 = Argb32Image.CreateFromBitmap(src);

            StringBuilder sb = new StringBuilder();
            Stopwatch sw = new Stopwatch();

            DoSomething();

            sw.Reset();
            sw.Start();
            for (int i = 0; i < count; i++)
                ProcessImageWithEmgucv(src);
            sw.Stop();
            sb.AppendLine("EmguCV:" + sw.ElapsedMilliseconds.ToString());

            DoSomething();
            sw.Reset();
            sw.Start();
            for (int i = 0; i < count; i++)
                ProcessImageWithOpencv(src);
            sw.Stop();
            sb.AppendLine("OpenCV:" + sw.ElapsedMilliseconds.ToString());

            DoSomething();

            sw.Reset();
            sw.Start();
            for (int i = 0; i < count; i++)
                Grayscale(src);
            sw.Stop();
            sb.AppendLine("BitmapData:" + sw.ElapsedMilliseconds.ToString());

            //DoSomething();
            //sw.Reset();
            //sw.Start();
            //for (int i = 0; i < count; i++)
            //    img8.ToGrayscaleImage();
            //sw.Stop();
            //sb.AppendLine("ArgbImage8:" + sw.ElapsedMilliseconds.ToString());

            DoSomething();
            sw.Reset();
            sw.Start();
            for (int i = 0; i < count; i++)
                img32.ToGrayscaleImage();
            sw.Stop();
            sb.AppendLine("ArgbImage32:" + sw.ElapsedMilliseconds.ToString());



            //sw.Reset();
            //sw.Start();
            //for (int i = 0; i < count; i++)
            //    img8.ToGrayscaleImage();
            //sw.Stop();
            //sb.AppendLine("ArgbImage8:" + sw.ElapsedMilliseconds.ToString());



            return sb.ToString();
        }

        private static int[] DoSomething()
        {
            int[] data = new Int32[20000000];
            for (int i = 0; i < data.Length; i++)
            {
                data[i] = i;
            }
            return data;
        }

        private static GrayscaleImage TestMyConvert(ArgbImage img)
        {
            return img.ToGrayscaleImage();
        }

        /// <summary>
        /// 使用EmguCv处理图像
        /// </summary>
        private static void ProcessImageWithEmgucv(Bitmap bitmapSource)
        {
            //灰度
            Image<Bgr, Byte> imageSource = new Image<Bgr, byte>(bitmapSource);
            Image<Gray, Byte> imageGrayscale = imageSource.Convert<Gray, Byte>();
        }

        /// <summary>
        /// 使用Open Cv P/Invoke处理图像
        /// </summary>
        unsafe private static void ProcessImageWithOpencv(Bitmap bitmapSource)
        {
            Image<Bgr, Byte> imageSource = new Image<Bgr, byte>(bitmapSource);
            IntPtr ptrSource = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(MIplImage)));
            Marshal.StructureToPtr(imageSource.MIplImage, ptrSource, true);
            IntPtr ptrGrayscale = CvInvoke.cvCreateImage(imageSource.Size, IPL_DEPTH.IPL_DEPTH_8U, 1);
            CvInvoke.cvCvtColor(ptrSource, ptrGrayscale, COLOR_CONVERSION.CV_BGR2GRAY);
        }

        /// <summary>
        /// 将指定图像转换成灰度图
        /// </summary>
        /// <param name="bitmapSource">源图像支持3通道或者4通道图像，支持Format24bppRgb、Format32bppRgb和Format32bppArgb这3种像素格式</param>
        /// <returns>返回灰度图，如果转化失败，返回null。</returns>
        private static Bitmap Grayscale(Bitmap bitmapSource)
        {
            Bitmap bitmapGrayscale = null;
            if (bitmapSource != null && (bitmapSource.PixelFormat == PixelFormat.Format24bppRgb || bitmapSource.PixelFormat == PixelFormat.Format32bppArgb || bitmapSource.PixelFormat == PixelFormat.Format32bppRgb))
            {
                int width = bitmapSource.Width;
                int height = bitmapSource.Height;
                Rectangle rect = new Rectangle(0, 0, width, height);
                bitmapGrayscale = new Bitmap(width, height, PixelFormat.Format8bppIndexed);
                //设置调色板
                ColorPalette palette = bitmapGrayscale.Palette;
                for (int i = 0; i < palette.Entries.Length; i++)
                    palette.Entries[i] = Color.FromArgb(255, i, i, i);
                bitmapGrayscale.Palette = palette;
                BitmapData dataSource = bitmapSource.LockBits(rect, ImageLockMode.ReadOnly, bitmapSource.PixelFormat);
                BitmapData dataGrayscale = bitmapGrayscale.LockBits(rect, ImageLockMode.WriteOnly, PixelFormat.Format8bppIndexed);
                byte b, g, r;
                int strideSource = dataSource.Stride;
                int strideGrayscale = dataGrayscale.Stride;
                unsafe
                {
                    byte* ptrSource = (byte*)dataSource.Scan0.ToPointer();
                    byte* ptr1;
                    byte* ptrGrayscale = (byte*)dataGrayscale.Scan0.ToPointer();
                    byte* ptr2;
                    if (bitmapSource.PixelFormat == PixelFormat.Format24bppRgb)
                    {
                        for (int row = 0; row < height; row++)
                        {
                            ptr1 = ptrSource + strideSource * row;
                            ptr2 = ptrGrayscale + strideGrayscale * row;
                            for (int col = 0; col < width; col++)
                            {
                                b = *ptr1;
                                ptr1++;
                                g = *ptr1;
                                ptr1++;
                                r = *ptr1;
                                ptr1++;
                                *ptr2 = (byte)(0.114 * b + 0.587 * g + 0.299 * r);
                                ptr2++;
                            }
                        }
                    }
                    else    //bitmapSource.PixelFormat == PixelFormat.Format32bppArgb || bitmapSource.PixelFormat == PixelFormat.Format32bppRgb
                    {
                        for (int row = 0; row < height; row++)
                        {
                            ptr1 = ptrSource + strideGrayscale * row;
                            ptr2 = ptrGrayscale + strideGrayscale * row;
                            for (int col = 0; col < width; col++)
                            {
                                b = *ptr1;
                                ptr1++;
                                g = *ptr1;
                                ptr1++;
                                r = *ptr1;
                                ptr1 += 2;
                                *ptr2 = (byte)(0.114 * b + 0.587 * g + 0.299 * r);
                                ptr2++;
                            }
                        }
                    }
                }
                bitmapGrayscale.UnlockBits(dataGrayscale);
                bitmapSource.UnlockBits(dataSource);
            }
            return bitmapGrayscale;
        }

    }
}

第1页：五种方式进行图像灰度化计算第2页：测试结果第3页：一个测试程序(需要引用XNA)第4页：具体测试代码

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