《学习Opencv》第五章 习题6

#include "stdafx.h"
#include "cv.h"
#include "highgui.h"

void* getImage()
{
	CvCapture* capture=cvCreateCameraCapture(0);
	IplImage *img1=NULL,*img2=NULL,*img3=NULL,*frame=NULL,*ppImage=NULL;
	char keycode;
	cvNamedWindow("frame");
	if(capture!=NULL)
	{
		frame=cvQueryFrame(capture);  //注意任何视频(包括摄像头获取的视频的第一帧都是空帧,要从下一帧开始才是图像)
		while(1)
		{
			frame=cvQueryFrame(capture);
			cvShowImage("frame",frame);
			keycode=cvWaitKey(30);

			if(keycode==27)
				break;
			//保存第一张想要保存的图像
			if(keycode==‘1‘)
			{
				img1=cvCreateImage(cvGetSize(frame),frame->depth,1);    //将通道数为1对应灰度图像，再将frame利用cvConvertImage转换成灰度图像
				cvConvertImage(frame,img1);								//也可以利用cvCvtColor(frmae,img1,CV_BGR2GRAY)转成灰度图像
				cvSaveImage("C:/Users/shark/Desktop/1.jpg",img1);   
			}
			//保存第二张想要的图像：相对于第一张图像多出一个水杯之类的东西
			if(keycode==‘2‘)
			{
				img2=cvCreateImage(cvGetSize(frame),frame->depth,1);
				cvConvertImage(frame,img2);
				cvSaveImage("C:/Users/shark/Desktop/2.jpg",img2);
			}
		}
	}
	img3=cvCreateImage(cvGetSize(frame),frame->depth,1);
	ppImage=cvCreateImage(cvGetSize(frame),frame->depth,1);
	//差的绝对值、二值化阈值、开操作
	cvAbsDiff(img1,img2,img3);
	cvThreshold(img3,img1,20,255,CV_THRESH_BINARY);
	cvMorphologyEx(img1,img3,NULL,NULL,CV_MOP_OPEN);
	cvCopy(img3,ppImage);
	cvSaveImage("C:/Users/shark/Desktop/3.jpg",ppImage);
	cvReleaseImage(&img1);
	cvReleaseImage(&img2);
	cvReleaseImage(&img3);
	cvReleaseCapture(&capture);
	cvDestroyAllWindows();

	return ppImage;
}

bool findImage(IplImage* pImage,char nVal, CvPoint* pPos)
{
	char* ptr=NULL;
	if(pImage->nChannels==1)
	{
		ptr=pImage->imageData;
		if(ptr!=NULL)
		{
			for(int row=0;row<pImage->height;row++)
			{
				for(int col=0;col<pImage->width;col++)
				{
					if(ptr[col]==nVal)    //此处图像颜色类型为uchar
					{
						pPos->x=col;
						pPos->y=row;
						return true;
					}
					if(ptr[col]>150)   //???
					{
						int x=0;
					}
				}
				ptr+=pImage->widthStep;
			}
		}
	}
	return false;
}

int main()
{
	IplImage* pImg=NULL;
	CvPoint oldPoint={0,0},curPoint={0,0};
	int nArea=0,newArea=0;
	CvConnectedComp comp;
	char* szMyWin="my win";

	pImg=(IplImage*)getImage();
	if(pImg!=NULL)
	{
		do
		{
			if(findImage(pImg,255,&curPoint))    //找像素值为255的像素点
			{
				cvFloodFill(pImg,curPoint,cvScalar(100),cvScalar(0),cvScalar(0),&comp,8|CV_FLOODFILL_FIXED_RANGE);
				if(comp.area<nArea)
				{
					if(comp.area>0)
						cvFloodFill(pImg,curPoint,cvScalar(0),cvScalar(0),cvScalar(0),&comp,8|CV_FLOODFILL_FIXED_RANGE);    
				}
				else
				{
					newArea=comp.area;
					if(nArea>0)   //此为对之前区域填充
						cvFloodFill(pImg,oldPoint,cvScalar(0),cvScalar(0),cvScalar(0),&comp,8|CV_FLOODFILL_FIXED_RANGE);
					memcpy(&oldPoint,&curPoint,sizeof(CvPoint));
					//oldPoint=curPoint;
					nArea=newArea;
				}
			}
			else
			{
				cvFloodFill(pImg,oldPoint,cvScalar(255),cvScalar(0),cvScalar(0),&comp,8|CV_FLOODFILL_FIXED_RANGE);   //填充最后的最大区域
				break;
			}
		}while(true);
		cvSaveImage("C:/Users/shark/Desktop/4.jpg",pImg);
		cvNamedWindow(szMyWin);
		cvShowImage(szMyWin,pImg);
		cvWaitKey(0);

		cvReleaseImage(&pImg);
		cvDestroyWindow(szMyWin);
	}
}