OpenCV的GrabCut可运行代码及实例
本篇文章为大家展示了OpenCV的GrabCut可运行代码及实例,内容简明扼要并且容易理解,绝对能使你眼前一亮,通过这篇文章的详细介绍希望你能有所收获。
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OpenCV中 GrabCut 的可运行代码
参考:http://www.cnblogs.com/tornadomeet/archive/2012/11/09/2763271.html
#include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #includeusing namespace std; using namespace cv; static void help() { cout << "\nThis program demonstrates GrabCut segmentation -- select an object in a region\n" "and then grabcut will attempt to segment it out.\n" "Call:\n" "./grabcut \n" "\nSelect a rectangular area around the object you want to segment\n" << "\nHot keys: \n" "\tESC - quit the program\n" "\tr - restore the original image\n" "\tn - next iteration\n" "\n" "\tleft mouse button - set rectangle\n" "\n" "\tCTRL+left mouse button - set GC_BGD pixels\n" "\tSHIFT+left mouse button - set CG_FGD pixels\n" "\n" "\tCTRL+right mouse button - set GC_PR_BGD pixels\n" "\tSHIFT+right mouse button - set CG_PR_FGD pixels\n" << endl; } const Scalar RED = Scalar(0,0,255); const Scalar PINK = Scalar(230,130,255); const Scalar BLUE = Scalar(255,0,0); const Scalar LIGHTBLUE = Scalar(255,255,160); const Scalar GREEN = Scalar(0,255,0); const int BGD_KEY = CV_EVENT_FLAG_CTRLKEY; //Ctrl键 const int FGD_KEY = CV_EVENT_FLAG_SHIFTKEY; //Shift键 static void getBinMask( const Mat& comMask, Mat& binMask ) { if( comMask.empty() || comMask.type()!=CV_8UC1 ) CV_Error( CV_StsBadArg, "comMask is empty or has incorrect type (not CV_8UC1)" ); if( binMask.empty() || binMask.rows!=comMask.rows || binMask.cols!=comMask.cols ) binMask.create( comMask.size(), CV_8UC1 ); binMask = comMask & 1; //得到mask的最低位,实际上是只保留确定的或者有可能的前景点当做mask } class GCApplication { public: enum{ NOT_SET = 0, IN_PROCESS = 1, SET = 2 }; static const int radius = 2; static const int thickness = -1; void reset(); void setImageAndWinName( const Mat& _image, const string& _winName ); void showImage() const; void mouseClick( int event, int x, int y, int flags, void* param ); int nextIter(); int getIterCount() const { return iterCount; } private: void setRectInMask(); void setLblsInMask( int flags, Point p, bool isPr ); const string* winName; const Mat* image; Mat mask; Mat bgdModel, fgdModel; uchar rectState, lblsState, prLblsState; bool isInitialized; Rect rect; vector fgdPxls, bgdPxls, prFgdPxls, prBgdPxls; int iterCount; }; /*给类的变量赋值*/ void GCApplication::reset() { if( !mask.empty() ) mask.setTo(Scalar::all(GC_BGD)); bgdPxls.clear(); fgdPxls.clear(); prBgdPxls.clear(); prFgdPxls.clear(); isInitialized = false; rectState = NOT_SET; //NOT_SET == 0 lblsState = NOT_SET; prLblsState = NOT_SET; iterCount = 0; } /*给类的成员变量赋值而已*/ void GCApplication::setImageAndWinName( const Mat& _image, const string& _winName ) { if( _image.empty() || _winName.empty() ) return; image = &_image; winName = &_winName; mask.create( image->size(), CV_8UC1); reset(); } /*显示4个点,一个矩形和图像内容,因为后面的步骤很多地方都要用到这个函数,所以单独拿出来*/ void GCApplication::showImage() const { if( image->empty() || winName->empty() ) return; Mat res; Mat binMask; if( !isInitialized ) image->copyTo( res ); else { getBinMask( mask, binMask ); image->copyTo( res, binMask ); //按照最低位是0还是1来复制,只保留跟前景有关的图像,比如说可能的前景,可能的背景 } vector ::const_iterator it; /*下面4句代码是将选中的4个点用不同的颜色显示出来*/ for( it = bgdPxls.begin(); it != bgdPxls.end(); ++it ) //迭代器可以看成是一个指针 circle( res, *it, radius, BLUE, thickness ); for( it = fgdPxls.begin(); it != fgdPxls.end(); ++it ) //确定的前景用红色表示 circle( res, *it, radius, RED, thickness ); for( it = prBgdPxls.begin(); it != prBgdPxls.end(); ++it ) circle( res, *it, radius, LIGHTBLUE, thickness ); for( it = prFgdPxls.begin(); it != prFgdPxls.end(); ++it ) circle( res, *it, radius, PINK, thickness ); /*画矩形*/ if( rectState == IN_PROCESS || rectState == SET ) rectangle( res, Point( rect.x, rect.y ), Point(rect.x + rect.width, rect.y + rect.height ), GREEN, 2); imshow( *winName, res ); } /*该步骤完成后,mask图像中rect内部是3,外面全是0*/ void GCApplication::setRectInMask() { assert( !mask.empty() ); mask.setTo( GC_BGD ); //GC_BGD == 0 rect.x = max(0, rect.x); rect.y = max(0, rect.y); rect.width = min(rect.width, image->cols-rect.x); rect.height = min(rect.height, image->rows-rect.y); (mask(rect)).setTo( Scalar(GC_PR_FGD) ); //GC_PR_FGD == 3,矩形内部,为可能的前景点 } void GCApplication::setLblsInMask( int flags, Point p, bool isPr ) { vector *bpxls, *fpxls; uchar bvalue, fvalue; if( !isPr ) //确定的点 { bpxls = &bgdPxls; fpxls = &fgdPxls; bvalue = GC_BGD; //0 fvalue = GC_FGD; //1 } else //概率点 { bpxls = &prBgdPxls; fpxls = &prFgdPxls; bvalue = GC_PR_BGD; //2 fvalue = GC_PR_FGD; //3 } if( flags & BGD_KEY ) { bpxls->push_back(p); circle( mask, p, radius, bvalue, thickness ); //该点处为2 } if( flags & FGD_KEY ) { fpxls->push_back(p); circle( mask, p, radius, fvalue, thickness ); //该点处为3 } } /*鼠标响应函数,参数flags为CV_EVENT_FLAG的组合*/ void GCApplication::mouseClick( int event, int x, int y, int flags, void* ) { // TODO add bad args check switch( event ) { case CV_EVENT_LBUTTONDOWN: // set rect or GC_BGD(GC_FGD) labels { bool isb = (flags & BGD_KEY) != 0, isf = (flags & FGD_KEY) != 0; if( rectState == NOT_SET && !isb && !isf )//只有左键按下时 { rectState = IN_PROCESS; //表示正在画矩形 rect = Rect( x, y, 1, 1 ); } if ( (isb || isf) && rectState == SET ) //按下了alt键或者shift键,且画好了矩形,表示正在画前景背景点 lblsState = IN_PROCESS; } break; case CV_EVENT_RBUTTONDOWN: // set GC_PR_BGD(GC_PR_FGD) labels { bool isb = (flags & BGD_KEY) != 0, isf = (flags & FGD_KEY) != 0; if ( (isb || isf) && rectState == SET ) //正在画可能的前景背景点 prLblsState = IN_PROCESS; } break; case CV_EVENT_LBUTTONUP: if( rectState == IN_PROCESS ) { rect = Rect( Point(rect.x, rect.y), Point(x,y) ); //矩形结束 rectState = SET; setRectInMask(); assert( bgdPxls.empty() && fgdPxls.empty() && prBgdPxls.empty() && prFgdPxls.empty() ); showImage(); } if( lblsState == IN_PROCESS ) //已画了前后景点 { setLblsInMask(flags, Point(x,y), false); //画出前景点 lblsState = SET; showImage(); } break; case CV_EVENT_RBUTTONUP: if( prLblsState == IN_PROCESS ) { setLblsInMask(flags, Point(x,y), true); //画出背景点 prLblsState = SET; showImage(); } break; case CV_EVENT_MOUSEMOVE: if( rectState == IN_PROCESS ) { rect = Rect( Point(rect.x, rect.y), Point(x,y) ); assert( bgdPxls.empty() && fgdPxls.empty() && prBgdPxls.empty() && prFgdPxls.empty() ); showImage(); //不断的显示图片 } else if( lblsState == IN_PROCESS ) { setLblsInMask(flags, Point(x,y), false); showImage(); } else if( prLblsState == IN_PROCESS ) { setLblsInMask(flags, Point(x,y), true); showImage(); } break; } } /*该函数进行grabcut算法,并且返回算法运行迭代的次数*/ int GCApplication::nextIter() { if( isInitialized ) //使用grab算法进行一次迭代,参数2为mask,里面存的mask位是:矩形内部除掉那些可能是背景或者已经确定是背景后的所有的点,且mask同时也为输出 //保存的是分割后的前景图像 grabCut( *image, mask, rect, bgdModel, fgdModel, 1 ); else { if( rectState != SET ) return iterCount; if( lblsState == SET || prLblsState == SET ) grabCut( *image, mask, rect, bgdModel, fgdModel, 1, GC_INIT_WITH_MASK ); else grabCut( *image, mask, rect, bgdModel, fgdModel, 1, GC_INIT_WITH_RECT ); isInitialized = true; } iterCount++; bgdPxls.clear(); fgdPxls.clear(); prBgdPxls.clear(); prFgdPxls.clear(); return iterCount; } GCApplication gcapp; static void on_mouse( int event, int x, int y, int flags, void* param ) { gcapp.mouseClick( event, x, y, flags, param ); } int main( int argc, char** argv ) { string filename = "C:\\Users\\ycadai\\Desktop\\9.jpg"; Mat image = imread( filename, 1 ); if( image.empty() ) { cout << "\n Durn, couldn't read image filename " << filename << endl; return 1; } help(); const string winName = "image"; cvNamedWindow( winName.c_str(), CV_WINDOW_AUTOSIZE ); cvSetMouseCallback( winName.c_str(), on_mouse, 0 ); gcapp.setImageAndWinName( image, winName ); gcapp.showImage(); for(;;) { int c = cvWaitKey(0); switch( (char) c ) { case '\x1b': cout << "Exiting ..." << endl; goto exit_main; case 'r': cout << endl; gcapp.reset(); gcapp.showImage(); break; case 'n': int iterCount = gcapp.getIterCount(); cout << "<" << iterCount << "... "; int newIterCount = gcapp.nextIter(); if( newIterCount > iterCount ) { gcapp.showImage(); cout << iterCount << ">" << endl; } else cout << "rect must be determined>" << endl; break; } } exit_main: cvDestroyWindow( winName.c_str() ); return 0; }
真的很佩服这个算法!
运行结果:
A.
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文章标题:OpenCV的GrabCut可运行代码及实例
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