一、

因为项目须要，原来用GDI做的画线的功能。新的项目中考虑到垮平台的问题。打算用openCV来实现。故此做个效率对照。

二、

2点做一条线，来測试效率。

用了相同的画板大小---256*256的大小，函数通过參数输入。用GetTickCount来实现计时功能。

三、

GDI的主要循代码例如以下：

void  show_line(int line_num,int point_num)

{

	ULONAG start_time = get_tick_count();

	VMGdiPolygon* test_polygon = new VMGdiPolygon();

	int width = 256;

	int height = 256;

	test_polygon->VMIsCleanCloth();

	test_polygon->VMGdiInitBuf(width,height);

	COLORREF color = 0x0000FF;

	test_polygon->VMGdiSetPenColor(color);

	test_polygon->VMGdiSetPenWidth(2);

	int rangle = width;

	int line_count = line_num;

	for (int i = 0; i < line_count;i++)

	{

		for (int j = 0; j<point_num;j++)

		{

			int x_1 = random_fun(rangle);

			int y_1 = random_fun(rangle);

			int x_2 = random_fun(rangle);

			int y_2 = random_fun(rangle);			

			double  pt_0[3] = {x_1,y_1,0};

			double  pt_2[3] = {x_2,y_2,0};

			test_polygon->VMGdiLine(pt_0,pt_2);

		}

		//test_polygon->VMGdiLine(data,point_num,false);

	}

	ULONAG end_time = get_tick_count();

	cout<<"start time"<<start_time<<"--->end time:"<<end_time<<endl;

	cout<<"the number of "<<line_count<<"  lines "<<"has "<<point_num<<" 个数"<<" takes "<<end_time-start_time<<"ms "<<endl;

	test_polygon->VMGdiGetbitmap("D:\\001.bmp");

}

OpenCV的測试循环代码为：

void test_line(int width,int height,int line_count,int point_num,int line_width)

{

	ULONAG start_time = get_tick_count();

	int pic_width = width;

	int pic_height = height;

	Mat picture(pic_width,pic_height,CV_8UC4,Scalar(255,255,255));

	int rangle = width;

	for (int i = 0; i < line_count;i++)

	{

		for (int j = 0; j<point_num;j++)

		{

			int x_1 = random_fun(rangle);

			int y_1 = random_fun(rangle);

			int x_2 = random_fun(rangle);

			int y_2 = random_fun(rangle);

			//画线

			Point a = Point (x_1,y_1);

			Point center = Point(x_2,y_2);

			//cout<<x_1<<"  "<<y_1<<endl;

			//參数为：承载的图像、起始点、结束点、颜色、粗细、线型

			line(picture,a,center,Scalar(255,0,0),line_width,8);

		}

	}

	ULONAG end_time = get_tick_count();

	cout<<"the number of "<<line_count<<"  lines "<<" takes "<<end_time-start_time<<"ms "<<endl;

	imshow("底板",picture);

	show_info(picture);

}

四、

调用过程有在main函数中设计线的条数和每条线点的格式。

时间对照：

生成的图表为：

结果对照：opencv的画线效率和GDI在1000个点的处理效率是一致的，用gettickcount使用时间的忽略不计的。

而在总体效率比較中，非常明显opencv的画线效率更高。

五、

两种情况均保存成bmp格式图像。

效果对照：

GDI效果：

OpenCV效果：

watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY2FydHpoYW5n/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast" alt="">

放大效果：

GDI效果：

OpenCV放大：

眼下看来。opencv 处理效果较好点。

六、

两个main函数的代码

GDI main函数代码：

#include "VMGdiPolygon.h"

using namespace VRMap;

#include <iostream>

using namespace std;

#include "rw_timer.h"

int  random_fun(int rangle);

void show_2_point_line();

void  show_line(int line_num,int point_num,int line_width);

//void  show_polygonline(int line_num,int point_num,int line_width);

void main()

{

	//show_2_point_line();

	int line_number = 1;

	int point_numb = 10;

	int line_width = 2;

	show_line(line_number,point_numb);

	//show_polygonline(line_number,point_numb,line_width);

	system("pause");

	return;

}

int  random_fun(int rangle)

{

	int seed(0);

	int result = rand()%rangle;

	return result;

}

void show_2_point_line()

{

	VMGdiPolygon* test_polygon = new VMGdiPolygon();

	int width = 256;

	int height = 256;

	test_polygon->VMIsCleanCloth();

	test_polygon->VMGdiInitBuf(width,height);

	double  pt_0[3] = {0,0,0};

	double  pt_2[3] = {20,20,0};

	COLORREF color = 0xFFFF00;

	test_polygon->VMGdiSetPenColor(color);

	test_polygon->VMGdiSetPenWidth(2);

	test_polygon->VMGdiLine(pt_0,pt_2);

	test_polygon->VMGdiGetbitmap("D:\\001.bmp");

}

void  show_line(int line_num,int point_num)

{

	ULONAG start_time = get_tick_count();

	VMGdiPolygon* test_polygon = new VMGdiPolygon();

	int width = 256;

	int height = 256;

	test_polygon->VMIsCleanCloth();

	test_polygon->VMGdiInitBuf(width,height);

	COLORREF color = 0x0000FF;

	test_polygon->VMGdiSetPenColor(color);

	test_polygon->VMGdiSetPenWidth(2);

	int rangle = width;

	int line_count = line_num;

	for (int i = 0; i < line_count;i++)

	{

		for (int j = 0; j<point_num;j++)

		{

			int x_1 = random_fun(rangle);

			int y_1 = random_fun(rangle);

			int x_2 = random_fun(rangle);

			int y_2 = random_fun(rangle);			

			double  pt_0[3] = {x_1,y_1,0};

			double  pt_2[3] = {x_2,y_2,0};

			test_polygon->VMGdiLine(pt_0,pt_2);

		}

		//test_polygon->VMGdiLine(data,point_num,false);

	}

	ULONAG end_time = get_tick_count();

	cout<<"start time"<<start_time<<"--->end time:"<<end_time<<endl;

	cout<<"the number of "<<line_count<<"  lines "<<"has "<<point_num<<" 个数"<<" takes "<<end_time-start_time<<"ms "<<endl;

	test_polygon->VMGdiGetbitmap("D:\\001.bmp");

}

openCV的main函数代码：

#include <stdio.h>

#include <stdlib.h>

#include <time.h>

using namespace std;

#include "rw_timer.h"

//

////

#pragma comment(lib,"opencv_ml249d.lib")

#pragma comment(lib,"opencv_calib3d249d.lib")

#pragma comment(lib,"opencv_contrib249d.lib")

#pragma comment(lib,"opencv_core249d.lib")

#pragma comment(lib,"opencv_features2d249d.lib")

#pragma comment(lib,"opencv_flann249d.lib")

#pragma comment(lib,"opencv_gpu249d.lib")

#pragma comment(lib,"opencv_highgui249d.lib")

#pragma comment(lib,"opencv_imgproc249d.lib")

#pragma comment(lib,"opencv_legacy249d.lib")

#pragma comment(lib,"opencv_objdetect249d.lib")

#pragma comment(lib,"opencv_ts249d.lib")

#pragma comment(lib,"opencv_video249d.lib")

#pragma comment(lib,"opencv_nonfree249d.lib")

#pragma comment(lib,"opencv_ocl249d.lib")

#pragma comment(lib,"opencv_photo249d.lib")

#pragma comment(lib,"opencv_stitching249d.lib")

#pragma comment(lib,"opencv_superres249d.lib")

#pragma comment(lib,"opencv_videostab249d.lib")

#pragma comment(lib,"opencv_objdetect249.lib")

#pragma comment(lib,"opencv_ts249.lib")

#pragma comment(lib,"opencv_video249.lib")

#pragma comment(lib,"opencv_nonfree249.lib")

#pragma comment(lib,"opencv_ocl249.lib")

#pragma comment(lib,"opencv_photo249.lib")

#pragma comment(lib,"opencv_stitching249.lib")

#pragma comment(lib,"opencv_superres249.lib")

#pragma comment(lib,"opencv_videostab249.lib")

#pragma comment(lib,"opencv_calib3d249.lib")

#pragma comment(lib,"opencv_contrib249.lib")

#pragma comment(lib,"opencv_core249.lib")

#pragma comment(lib,"opencv_features2d249.lib")

#pragma comment(lib,"opencv_flann249.lib")

#pragma comment(lib,"opencv_gpu249.lib")

#pragma comment(lib,"opencv_highgui249.lib")

#pragma comment(lib,"opencv_imgproc249.lib")

#pragma comment(lib,"opencv_legacy249.lib")

#pragma comment(lib,"opencv_ml249.lib")

#include<iostream>

#include <opencv2/core/core.hpp>

#include <opencv2/highgui/highgui.hpp>

using namespace cv;

int  random_fun(int rangle);

void show_info(Mat picture);

void test_line(int width,int height,int line_count,int point_num,int line_width);

void test_polyline(int width,int height,int line_count,int point_num,int line_width);

int main()

{

	int width = 256;

	int height = 256;

	int line_count = 100;

	int point_num = 1000;

	int line_width = 1;

	test_line(width,height,line_count,point_num,line_width);

	//

	//test_polyline(width,height,line_count,100,line_width);

	// 等待6000 ms后窗体自己主动关闭

	waitKey(12000);

}

void show_info(Mat picture)

{

	if (picture.data == NULL){

		return;

	}

	//IplImage* test_img = cvSaveImage()

	int channels = picture.channels();

	int rows = picture.rows;

	int cols = picture.cols;

	uchar* data = picture.data;

	cout<<"chanels:"<<channels<<" rows:" <<rows<<" cols:"<<cols<<endl;

}

void test_line(int width,int height,int line_count,int point_num,int line_width)

{

	ULONAG start_time = get_tick_count();

	int pic_width = width;

	int pic_height = height;

	Mat picture(pic_width,pic_height,CV_8UC4,Scalar(255,255,255));

	int rangle = width;

	for (int i = 0; i < line_count;i++)

	{

		for (int j = 0; j<point_num;j++)

		{

			int x_1 = random_fun(rangle);

			int y_1 = random_fun(rangle);

			int x_2 = random_fun(rangle);

			int y_2 = random_fun(rangle);

			//画线

			Point a = Point (x_1,y_1);

			Point center = Point(x_2,y_2);

			//cout<<x_1<<"  "<<y_1<<endl;

			//參数为：承载的图像、起始点、结束点、颜色、粗细、线型

			line(picture,a,center,Scalar(255,0,0),line_width,8);

		}

	}

	ULONAG end_time = get_tick_count();

	cout<<"the number of "<<line_count<<"  lines "<<" takes "<<end_time-start_time<<"ms "<<endl;

	imshow("底板",picture);

	show_info(picture);

}

// 读入一张图片（游戏原画）

//Mat img=imread("pic.jpg");

//// 创建一个名为 "游戏原画"窗体

//cvNamedWindow("游戏原画");

//// 在窗体中显示游戏原画

//imshow("游戏原画",img);

int  random_fun(int rangle)

{

	int seed(0);

	//srand( (unsigned)time( NULL ) );

	int result = rand()%rangle;

	return result;

}

void test_polyline(int width,int height,int line_count,int point_num,int line_width)

{

	ULONAG start_time = get_tick_count();

	int pic_width = width;

	int pic_height = height;

	Mat picture(pic_width,pic_height,CV_8UC4,Scalar(255,255,255));	

	line_count = 1;

	int rangle = width;

	Point** test_points = new Point*[line_count];

	int *npts = new int[line_count];

	for (int j = 0;j < line_count;j++)

	{

		Point rook_points[1][100];

		for (int k =0;k<100;k++)

		{

			int x = random_fun(rangle);

			int y = random_fun(rangle);

			rook_points[0][j] = Point( x,y);

		}

		const Point* ppt[1] = { rook_points[0] };

		int npt[] = { 100 };

		polylines(picture,ppt,npt,1,1,CV_RGB(0,255,0),2,8,0);

	}

	imshow("底板",picture);

	//

	//for (int j = 0;j < line_count;j++)

	//{

	//	delete []test_points[j];

	//	test_points[j] = NULL;

	//}

	//delete []test_points;

	//test_points = NULL;

	ULONAG end_time = get_tick_count();

	cout<<"the number of "<<line_count<<"  lines "<<" takes "<<end_time-start_time<<"ms "<<endl;

	show_info(picture);

}

当然使用须要opencv的各种库的配置。opencv的下载和使用。可參考浅墨的http://blog.csdn.net/poem_qianmo/article/details/20911629

opencv教程和配置设置等博客。

源代码免费下载地址：GDI測试代码

OPENCV的画线測试代码

-------------THE END--------------

若有问题，请指教。

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