1 寻找凸包:convexHull()函数
void convexHull(InputArray points,OutputArray hull,bool clockwise=false,bool returnPoints=true)
//例子
include "opencv2/imgproc/imgproc.hpp"
include "opencv2/highgui/highgui.hpp"
include
using namespace cv;
using namespace std;
//-----------------------------------【ShowHelpText( )函数】----------------------------------
// 描述：输出一些帮助信息
//----------------------------------------------------------------------------------------------
static void ShowHelpText()
{
//输出欢迎信息和OpenCV版本
printf("\n\n\t\t\t非常感谢购买《OpenCV3编程入门》一书！\n");
printf("\n\n\t\t\t此为本书OpenCV3版的第71个配套示例程序\n");
printf("\n\n\t\t\t 当前使用的OpenCV版本为：" CV_VERSION );
printf("\n\n ----------------------------------------------------------------------------\n");
//输出一些帮助信息
printf("\n\t欢迎来到【凸包检测】示例程序~\n\n");
printf("\n\t按键操作说明: \n\n"
"\t\t键盘按键【ESC】、【Q】、【q】- 退出程序\n\n"
"\t\t键盘按键任意键 - 重新生成随机点，并进行凸包检测\n" );
}
//--------------------------------------【main( )函数】-----------------------------------------
// 描述：控制台应用程序的入口函数，我们的程序从这里开始执行
//-----------------------------------------------------------------------------------------------
int main( )
{
//改变console字体颜色
system("color 1F");
//显示帮助文字
ShowHelpText();
//初始化变量和随机值
Mat image(600, 600, CV_8UC3);
RNG& rng = theRNG();
//循环，按下ESC,Q,q键程序退出，否则有键按下便一直更新
while(1)
{
//参数初始化
char key;//键值
int count = (unsigned)rng%100 + 3;//随机生成点的数量
vector<Point> points; //点值
//随机生成点坐标
for(int i = 0; i < count; i++ )
{
Point point;
point.x = rng.uniform(image.cols/4, image.cols*3/4);
point.y = rng.uniform(image.rows/4, image.rows*3/4);
points.push_back(point);
}
//检测凸包
vector<int> hull;
convexHull(Mat(points), hull, true);
//绘制出随机颜色的点
image = Scalar::all(0);
for(int i = 0; i < count; i++ )
circle(image, points[i], 3, Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255)), FILLED, LINE_AA);
//准备参数
int hullcount = (int)hull.size();//凸包的边数
Point point0 = points[hull[hullcount-1]];//连接凸包边的坐标点
//绘制凸包的边
for(int i = 0; i < hullcount; i++ )
{
Point point = points[hull[i]];
line(image, point0, point, Scalar(255, 255, 255), 2, LINE_AA);
point0 = point;
}
//显示效果图
imshow("凸包检测示例", image);
//按下ESC,Q,或者q，程序退出
key = (char)waitKey();
if( key == 27 || key == 'q' || key == 'Q' )
break;
}
return 0;
}
//寻找和绘制物体的凸包
include "opencv2/highgui/highgui.hpp"
include "opencv2/imgproc/imgproc.hpp"
include
using namespace cv;
using namespace std;
//-----------------------------------【宏定义部分】--------------------------------------------
// 描述：定义一些辅助宏
//------------------------------------------------------------------------------------------------
define WINDOW_NAME1 "【原始图窗口】" //为窗口标题定义的宏
define WINDOW_NAME2 "【效果图窗口】" //为窗口标题定义的宏
//-----------------------------------【全局变量声明部分】--------------------------------------
// 描述：全局变量的声明
//-----------------------------------------------------------------------------------------------
Mat g_srcImage; Mat g_grayImage;
int g_nThresh = 50;
int g_maxThresh = 255;
RNG g_rng(12345);
Mat srcImage_copy = g_srcImage.clone();
Mat g_thresholdImage_output;
vector<vector
vector
//-----------------------------------【全局函数声明部分】--------------------------------------
// 描述：全局函数的声明
//-----------------------------------------------------------------------------------------------
//static void ShowHelpText( );
void on_ThreshChange(int, void* );
//void ShowHelpText();
//-----------------------------------【main( )函数】------------------------------------------
// 描述：控制台应用程序的入口函数，我们的程序从这里开始执行
//-----------------------------------------------------------------------------------------------
int main()
{
/system("color 3F");
ShowHelpText();/
// 加载源图像 g_srcImage = imread( "1.jpg", 1 ); // 将原图转换成灰度图并进行模糊降 cvtColor( g_srcImage, g_grayImage, COLOR_BGR2GRAY ); blur( g_grayImage, g_grayImage, Size(3,3) ); // 创建原图窗口并显示 namedWindow( WINDOW_NAME1, WINDOW_AUTOSIZE ); imshow( WINDOW_NAME1, g_srcImage ); //创建滚动条 createTrackbar( " 阈值:", WINDOW_NAME1, &g_nThresh, g_maxThresh, on_ThreshChange ); on_ThreshChange( 0, 0 );//调用一次进行初始化 waitKey(0); return(0);
}
//-----------------------------------【thresh_callback( )函数】----------------------------------
// 描述：回调函数
//----------------------------------------------------------------------------------------------
void on_ThreshChange(int, void* )
{
// 对图像进行二值化，控制阈值
threshold( g_grayImage, g_thresholdImage_output, g_nThresh, 255, THRESH_BINARY );
// 寻找轮廓
findContours( g_thresholdImage_output, g_vContours, g_vHierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
// 遍历每个轮廓，寻找其凸包
vector<vector<Point> >hull( g_vContours.size() );
for( unsigned int i = 0; i < g_vContours.size(); i++ )
{
convexHull( Mat(g_vContours[i]), hull[i], false );
}
// 绘出轮廓及其凸包
Mat drawing = Mat::zeros( g_thresholdImage_output.size(), CV_8UC3 );
for(unsigned int i = 0; i< g_vContours.size(); i++ )
{
Scalar color = Scalar( g_rng.uniform(0, 255), g_rng.uniform(0,255), g_rng.uniform(0,255) );
drawContours( drawing, g_vContours, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
drawContours( drawing, hull, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
}
// 显示效果图
imshow( WINDOW_NAME2, drawing );
}
//-----------------------------------【ShowHelpText( )函数】-----------------------------
// 描述：输出一些帮助信息
//----------------------------------------------------------------------------------------------
/void ShowHelpText()
{
//输出欢迎信息和OpenCV版本
printf("\n\n\t\t\t非常感谢购买《OpenCV3编程入门》一书！\n");
printf("\n\n\t\t\t此为本书OpenCV3版的第72个配套示例程序\n");
printf("\n\n\t\t\t 当前使用的OpenCV版本为：" CV_VERSION );
printf("\n\n ----------------------------------------------------------------------------\n");
}/