opencv平均背景法详解-创新互联
本文实例为大家分享了opencv平均背景法的具体代码，供大家参考，具体内容如下
#include#include #include using namespace std; using namespace cv; IplImage *IavgF, *IdiffF, *IprevF, *IhiF, *IlowF; IplImage *Iscratch, *Iscratch3; IplImage *Igray1, *Igray2, *Igray3; IplImage *Ilow1, *Ilow2, *Ilow3; IplImage *Ihi1, *Ihi2, *Ihi3; IplImage *Imaskt; float Icount; void AllocateImages(IplImage* I){ CvSize sz = cvGetSize(I); IavgF = cvCreateImage(sz, IPL_DEPTH_32F, 3); IdiffF = cvCreateImage(sz, IPL_DEPTH_32F, 3); IprevF = cvCreateImage(sz, IPL_DEPTH_32F, 3); IhiF = cvCreateImage(sz, IPL_DEPTH_32F, 3); IlowF = cvCreateImage(sz, IPL_DEPTH_32F, 3); Ilow1 = cvCreateImage(sz, IPL_DEPTH_32F, 1); Ilow2 = cvCreateImage(sz, IPL_DEPTH_32F, 1); Ilow3 = cvCreateImage(sz, IPL_DEPTH_32F, 1); Ihi1 = cvCreateImage(sz, IPL_DEPTH_32F, 1); Ihi2 = cvCreateImage(sz, IPL_DEPTH_32F, 1); Ihi3 = cvCreateImage(sz, IPL_DEPTH_32F, 1); cvZero(IavgF); cvZero(IdiffF); cvZero(IprevF); cvZero(IhiF); cvZero(IlowF); Icount = 0.00001; Iscratch = cvCreateImage(sz, IPL_DEPTH_32F, 3); Iscratch3 = cvCreateImage(sz, IPL_DEPTH_32F, 3); Igray1 = cvCreateImage(sz, IPL_DEPTH_32F, 1); Igray2 = cvCreateImage(sz, IPL_DEPTH_32F, 1); Igray3 = cvCreateImage(sz, IPL_DEPTH_32F, 1); Imaskt = cvCreateImage(sz, IPL_DEPTH_8U, 1); cvZero(Iscratch); cvZero(Iscratch3); } void accumulateBackground(IplImage *I){ static int first = 1; cvCvtScale(I, Iscratch, 1, 0); if (!first){ cvAcc(Iscratch, IavgF); cvAbsDiff(Iscratch, IprevF, Iscratch3); cvAcc(Iscratch3, IdiffF); Icount += 1.0; } first = 0; cvCopy(Iscratch, IprevF); } void setHighThreshold(float scale){ cvConvertScale(IdiffF, Iscratch, scale); cvAdd(Iscratch, IavgF, IhiF); cvSplit(IhiF, Ihi1, Ihi2, Ihi3, 0); } void setLowThreshold(float scale){ cvConvertScale(IdiffF, Iscratch, scale); cvAdd(IavgF, Iscratch, IlowF); cvSplit(IlowF,Ilow1,Ilow2,Ilow3, 0); } void createModelsfromStats(){ cvConvertScale(IavgF, IavgF, (double)(1.0 / Icount)); cvConvertScale(IdiffF, IdiffF, (double)(1.0 / Icount)); cvAddS(IdiffF, cvScalar(1.0, 1.0, 1.0), IdiffF); setHighThreshold(10.0); setLowThreshold(4.0); } void backgroundDiff(IplImage* I, IplImage* Imask){ cvCvtScale(I, Iscratch, 1, 0); cvSplit(Iscratch, Igray1, Igray2, Igray3, 0); cvInRange(Igray1, Ilow1, Ihi1, Imask); cvInRange(Igray2, Ilow2, Ihi2, Imaskt); cvOr(Imask, Imaskt, Imask); cvInRange(Igray3, Ilow3, Ihi3, Imaskt); cvOr(Imask, Imaskt, Imask); cvSubRS(Imask, Scalar(255), Imask); } void DeallocateImages(){ cvReleaseImage(&IavgF); cvReleaseImage(&IdiffF); cvReleaseImage(&IprevF); cvReleaseImage(&IhiF); cvReleaseImage(&IlowF); cvReleaseImage(&Ilow1); cvReleaseImage(&Ilow2); cvReleaseImage(&Ilow3); cvReleaseImage(&Ihi1); cvReleaseImage(&Ihi2); cvReleaseImage(&Ihi3); cvReleaseImage(&Iscratch); cvReleaseImage(&Iscratch3); cvReleaseImage(&Igray1); cvReleaseImage(&Igray2); cvReleaseImage(&Igray3); cvReleaseImage(&Imaskt); } char filename[100]; char newcontour[100]; void main() { TickMeter tm; tm.start(); //many imgs IplImage* src = cvLoadImage("待处理背面图\\55124.bmp"); AllocateImages(src); for (int i = 55124; i <= 56460; i++) { sprintf(filename, "待处理背面图\\%d.bmp", i); sprintf(newcontour, "分割前景\\%d.bmp", i); IplImage* src_ipl = cvLoadImage(filename); accumulateBackground(src_ipl); createModelsfromStats(); CvSize sz = cvGetSize(src_ipl); IplImage* myImask = cvCreateImage(sz, IPL_DEPTH_8U, 1);; backgroundDiff(src_ipl, myImask); cvSaveImage(newcontour, myImask); } DeallocateImages(); tm.stop(); cout << "count=" << tm.getCounter() << ",process time=" << tm.getTimeMilli() << endl; }
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