openCV 和GDI画线效率对比

一、

由于项目需要,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,故此做个效率对比。

二、

2点做一条线,来测试效率。

用了同样的画板大小---256*256的大小,函数通过参数输入,用GetTickCount来实现计时功能。

三、

GDI的主要循代码如下:

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的测试循环代码为:

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;
			//参数为: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。


时间对比:

openCV 和GDI画线效率对比_第1张图片


生成的图表为:

openCV 和GDI画线效率对比_第2张图片

结果对比: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。

而在整体效率比较中,很明显opencv的画线效率更高。

五、

两种情况均保存成bmp格式图像。

效果对比:

GDI效果:openCV 和GDI画线效率对比_第3张图片

OpenCV效果:openCV 和GDI画线效率对比_第4张图片


放大效果:

GDI效果:openCV 和GDI画线效率对比_第5张图片

OpenCV放大:

openCV 和GDI画线效率对比_第6张图片

目前看来,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后窗口自动关闭
	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;
			//参数为: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"窗口
//cvNamedWindow("游戏原画");
//// 在窗口中显示游戏原画
//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);
}

当然使用需要opencv的各种库的配置。opencv的下载和使用,可参考浅墨的http://blog.csdn.net/poem_qianmo/article/details/20911629

opencv教程和配置设置等博客。


源码免费下载地址:GDI测试代码

OPENCV的画线测试代码


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

若有问题,请不吝赐教。



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