opencv颜色识别java,Opencv颜色识别与追踪
//---------------------------------【头文件、命名空间包含部分】----------------------------//描述：包含程序所使用的头文件和命名空间//-------------------------------------------------------------------------------------------------
#include "opencv2/video/tracking.hpp"#include"opencv2/imgproc/imgproc.hpp"#include"opencv2/highgui/highgui.hpp"#include#include
using namespacecv;using namespacestd;//-----------------------------------【全局变量声明】-----------------------------------------//描述：声明全局变量//-------------------------------------------------------------------------------------------------
Mat image;bool backprojMode = false;bool selectObject = false;int trackObject = 0;bool showHist = true;
Point origin;
Rect selection;int vmin = 10, vmax = 256, smin = 30;//--------------------------------【onMouse( )回调函数】------------------------------------//描述：鼠标操作回调//-------------------------------------------------------------------------------------------------
static void onMouse( int event, int x, int y, int, void*)
{if( selectObject )
{
selection.x=MIN(x, origin.x);
selection.y=MIN(y, origin.y);
selection.width= std::abs(x -origin.x);
selection.height= std::abs(y -origin.y);
selection&= Rect(0, 0, image.cols, image.rows);
}switch( event)
{//此句代码的OpenCV2版为：//case CV_EVENT_LBUTTONDOWN://此句代码的OpenCV3版为：
caseEVENT_LBUTTONDOWN:
origin=Point(x,y);
selection= Rect(x,y,0,0);
selectObject= true;break;//此句代码的OpenCV2版为：//case CV_EVENT_LBUTTONUP://此句代码的OpenCV3版为：
caseEVENT_LBUTTONUP:
selectObject= false;if( selection.width > 0 && selection.height > 0)
trackObject= -1;break;
}
}//--------------------------------【help( )函数】----------------------------------------------//描述：输出帮助信息//-------------------------------------------------------------------------------------------------
static voidShowHelpText()
{
cout<< "\n\n\t此Demo显示了基于均值漂移的追踪(tracking)技术\n"
"\t请用鼠标框选一个有颜色的物体，对它进行追踪操作\n";
cout<< "\n\n\t操作说明： \n"
"\t\t用鼠标框选对象来初始化跟踪\n"
"\t\tESC - 退出程序\n"
"\t\tc - 停止追踪\n"
"\t\tb - 开/关-投影视图\n"
"\t\th - 显示/隐藏-对象直方图\n"
"\t\tp - 暂停视频\n";
}const char* keys ={"{1| | 0 | camera number}"};//-----------------------------------【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//-------------------------------------------------------------------------------------------------
int main( int argc, const char**argv )
{
ShowHelpText();
VideoCapture cap;
Rect trackWindow;int hsize = 16;float hranges[] = {0,180};const float* phranges =hranges;
cap.open(0);if( !cap.isOpened() )
{
cout<< "不能初始化摄像头\n";
}
namedWindow("Histogram", 0);
namedWindow("CamShift Demo", 0);
setMouseCallback("CamShift Demo", onMouse, 0);
createTrackbar("Vmin", "CamShift Demo", &vmin, 256, 0);
createTrackbar("Vmax", "CamShift Demo", &vmax, 256, 0);
createTrackbar("Smin", "CamShift Demo", &smin, 256, 0);
Mat frame, hsv, hue, mask, hist, histimg= Mat::zeros(200, 320, CV_8UC3), backproj;bool paused = false;for(;;)
{if( !paused )
{
cap>>frame;if( frame.empty() )break;
}
frame.copyTo(image);if( !paused )
{
cvtColor(image, hsv, COLOR_BGR2HSV);if( trackObject )
{int _vmin = vmin, _vmax =vmax;
inRange(hsv, Scalar(0, smin, MIN(_vmin,_vmax)),
Scalar(180, 256, MAX(_vmin, _vmax)), mask);int ch[] = {0, 0};
hue.create(hsv.size(), hsv.depth());
mixChannels(&hsv, 1, &hue, 1, ch, 1);if( trackObject < 0)
{
Mat roi(hue, selection), maskroi(mask, selection);
calcHist(&roi, 1, 0, maskroi, hist, 1, &hsize, &phranges);//此句代码的OpenCV3版为：
normalize(hist, hist, 0, 255, NORM_MINMAX);//此句代码的OpenCV2版为：//normalize(hist, hist, 0, 255, CV_MINMAX);
trackWindow=selection;
trackObject= 1;
histimg= Scalar::all(0);int binW = histimg.cols /hsize;
Mat buf(1, hsize, CV_8UC3);for( int i = 0; i < hsize; i++)
buf.at(i) = Vec3b(saturate_cast(i*180./hsize), 255, 255);//此句代码的OpenCV3版为：
cvtColor(buf, buf, COLOR_HSV2BGR);//此句代码的OpenCV2版为：//cvtColor(buf, buf, CV_HSV2BGR);
for( int i = 0; i < hsize; i++)
{int val = saturate_cast(hist.at(i)*histimg.rows/255);
rectangle( histimg, Point(i*binW,histimg.rows),
Point((i+1)*binW,histimg.rows -val),
Scalar(buf.at(i)), -1, 8);
}
}
calcBackProject(&hue, 1, 0, hist, backproj, &phranges);
backproj&=mask;
RotatedRect trackBox=CamShift(backproj, trackWindow,//此句代码的OpenCV3版为：
TermCriteria( TermCriteria::EPS | TermCriteria::COUNT, 10, 1));//此句代码的OpenCV2版为：//TermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ));
if( trackWindow.area() <= 1)
{int cols = backproj.cols, rows = backproj.rows, r = (MIN(cols, rows) + 5)/6;
trackWindow= Rect(trackWindow.x - r, trackWindow.y -r,
trackWindow.x+ r, trackWindow.y + r) &Rect(0, 0, cols, rows);
}if( backprojMode )
cvtColor( backproj, image, COLOR_GRAY2BGR );//此句代码的OpenCV3版为：
ellipse( image, trackBox, Scalar(0,0,255), 3, LINE_AA );//此句代码的OpenCV2版为：//ellipse( image, trackBox, Scalar(0,0,255), 3, CV_AA );
}
}else if( trackObject < 0)
paused= false;if( selectObject && selection.width > 0 && selection.height > 0)
{
Mat roi(image, selection);
bitwise_not(roi, roi);
}
imshow("CamShift Demo", image );
imshow("Histogram", histimg );char c = (char)waitKey(10);if( c == 27)break;switch(c)
{case 'b':
backprojMode= !backprojMode;break;case 'c':
trackObject= 0;
histimg= Scalar::all(0);break;case 'h':
showHist= !showHist;if( !showHist )
destroyWindow("Histogram");elsenamedWindow("Histogram", 1);break;case 'p':
paused= !paused;break;default:
;
}
}return 0;
}