OpenCV打开摄像机并显示在MFC窗口上

博主最近在研究相机的操作,第一步就是要把相机采集的图像显示到MFC的图片控件上,使用相机的SDK可以打开相机并截图像,但是这种方法非常复杂,为了能够寻求更简便的方法,博主参考了网上很多大神的博客,最终完成了相关工作,这里将我的方法写出来和大家一起分享。(新手参考,大神可以路过敲打

1.绘制MFC对话框

博主新建了一个基于对话框的MFC工程,取名为CPylonCamera,编辑默认的对话框如下图所示,其中“打开相机”、“关闭相机”、“采集图片”的ID分别为IDC_BUTTON_OPEN、IDC_BUTTON_STOP、IDC_BUTTON_GRAB,图片控件的ID为IDC_STATIC_PIC。

2.添加相应的头文件和资源

因为博主用的是OpenCV3.1.0版本的,这个版本没有CvvImage资源文件,所以这里面需要手动添加资源文件到MFC工程中,具体的代码如下:

2.1 CvvImage.h文件

#ifndef CVVIMAGE_CLASS_DEF
#define CVVIMAGE_CLASS_DEF

#include <opencv/cv.h>
#include <opencv/highgui.h>

/* CvvImage class definition */
class CvvImage
{
public:
	CvvImage();
	virtual ~CvvImage();

	/* Create image (BGR or grayscale) */
	virtual bool Create(int width, int height, int bits_per_pixel, int image_origin = 0);

	/* Load image from specified file */
	virtual bool Load(const char* filename, int desired_color = 1);

	/* Load rectangle from the file */
	virtual bool LoadRect(const char* filename,
		int desired_color, CvRect r);

#if defined WIN32 || defined _WIN32
	virtual bool LoadRect(const char* filename,
		int desired_color, RECT r)
	{
		return LoadRect(filename, desired_color,
			cvRect(r.left, r.top, r.right - r.left, r.bottom - r.top));
	}
#endif

	/* Save entire image to specified file. */
	virtual bool Save(const char* filename);

	/* Get copy of input image ROI */
	virtual void CopyOf(CvvImage& image, int desired_color = -1);
	virtual void CopyOf(IplImage* img, int desired_color = -1);

	IplImage* GetImage() { return m_img; };
	virtual void Destroy(void);

	/* width and height of ROI */
	int Width() { return !m_img ? 0 : !m_img->roi ? m_img->width : m_img->roi->width; };
	int Height() { return !m_img ? 0 : !m_img->roi ? m_img->height : m_img->roi->height; };
	int Bpp() { return m_img ? (m_img->depth & 255)*m_img->nChannels : 0; };

	virtual void Fill(int color);

	/* draw to highgui window */
	virtual void Show(const char* window);

#if defined WIN32 || defined _WIN32
	/* draw part of image to the specified DC */
	virtual void Show(HDC dc, int x, int y, int width, int height,
		int from_x = 0, int from_y = 0);
	/* draw the current image ROI to the specified rectangle of the destination DC */
	virtual void DrawToHDC(HDC hDCDst, RECT* pDstRect);
#endif

protected:

	IplImage* m_img;
};

typedef CvvImage CImage;

#endif

2.2 CvvImage.cpp文件

#include "stdafx.h"//加到工程后这个就要添上
#include "CvvImage.h"

//////////////////////////////////////////////////////////////////////
// Construction/Destruction
//////////////////////////////////////////////////////////////////////

CV_INLINE RECT NormalizeRect(RECT r);
CV_INLINE RECT NormalizeRect(RECT r)
{
	int t;

	if (r.left > r.right)
	{
		t = r.left;
		r.left = r.right;
		r.right = t;
	}

	if (r.top > r.bottom)
	{
		t = r.top;
		r.top = r.bottom;
		r.bottom = t;
	}

	return r;
}

CV_INLINE CvRect RectToCvRect(RECT sr);
CV_INLINE CvRect RectToCvRect(RECT sr)
{
	sr = NormalizeRect(sr);
	return cvRect(sr.left, sr.top, sr.right - sr.left, sr.bottom - sr.top);
}

CV_INLINE RECT CvRectToRect(CvRect sr);
CV_INLINE RECT CvRectToRect(CvRect sr)
{
	RECT dr;
	dr.left = sr.x;
	dr.top = sr.y;
	dr.right = sr.x + sr.width;
	dr.bottom = sr.y + sr.height;

	return dr;
}

CV_INLINE IplROI RectToROI(RECT r);
CV_INLINE IplROI RectToROI(RECT r)
{
	IplROI roi;
	r = NormalizeRect(r);
	roi.xOffset = r.left;
	roi.yOffset = r.top;
	roi.width = r.right - r.left;
	roi.height = r.bottom - r.top;
	roi.coi = 0;

	return roi;
}

void FillBitmapInfo(BITMAPINFO* bmi, int width, int height, int bpp, int origin)
{
	assert(bmi && width >= 0 && height >= 0 && (bpp == 8 || bpp == 24 || bpp == 32));

	BITMAPINFOHEADER* bmih = &(bmi->bmiHeader);

	memset(bmih, 0, sizeof(*bmih));
	bmih->biSize = sizeof(BITMAPINFOHEADER);
	bmih->biWidth = width;
	bmih->biHeight = origin ? abs(height) : -abs(height);
	bmih->biPlanes = 1;
	bmih->biBitCount = (unsigned short)bpp;
	bmih->biCompression = BI_RGB;

	if (bpp == 8)
	{
		RGBQUAD* palette = bmi->bmiColors;
		int i;
		for (i = 0; i < 256; i++)
		{
			palette[i].rgbBlue = palette[i].rgbGreen = palette[i].rgbRed = (BYTE)i;
			palette[i].rgbReserved = 0;
		}
	}
}

CvvImage::CvvImage()
{
	m_img = 0;
}

void CvvImage::Destroy()
{
	cvReleaseImage(&m_img);
}

CvvImage::~CvvImage()
{
	Destroy();
}

bool CvvImage::Create(int w, int h, int bpp, int origin)
{
	const unsigned max_img_size = 10000;

	if ((bpp != 8 && bpp != 24 && bpp != 32) ||
		(unsigned)w >= max_img_size || (unsigned)h >= max_img_size ||
		(origin != IPL_ORIGIN_TL && origin != IPL_ORIGIN_BL))
	{
		assert(0); // most probably, it is a programming error
		return false;
	}

	if (!m_img || Bpp() != bpp || m_img->width != w || m_img->height != h)
	{
		if (m_img && m_img->nSize == sizeof(IplImage))
			Destroy();

		/* prepare IPL header */
		m_img = cvCreateImage(cvSize(w, h), IPL_DEPTH_8U, bpp / 8);
	}

	if (m_img)
		m_img->origin = origin == 0 ? IPL_ORIGIN_TL : IPL_ORIGIN_BL;

	return m_img != 0;
}

void CvvImage::CopyOf(CvvImage& image, int desired_color)
{
	IplImage* img = image.GetImage();
	if (img)
	{
		CopyOf(img, desired_color);
	}
}


#define HG_IS_IMAGE(img) \
	((img) != 0 && ((const IplImage*)(img))->nSize == sizeof(IplImage) && \
	((IplImage*)img)->imageData != 0)


void CvvImage::CopyOf(IplImage* img, int desired_color)
{
	if (HG_IS_IMAGE(img))
	{
		int color = desired_color;
		CvSize size = cvGetSize(img);

		if (color < 0)
			color = img->nChannels > 1;

		if (Create(size.width, size.height,
			(!color ? 1 : img->nChannels > 1 ? img->nChannels : 3) * 8,
			img->origin))
		{
			cvConvertImage(img, m_img, 0);
		}
	}
}


bool CvvImage::Load(const char* filename, int desired_color)
{
	IplImage* img = cvLoadImage(filename, desired_color);
	if (!img)
		return false;

	CopyOf(img, desired_color);
	cvReleaseImage(&img);

	return true;
}


bool CvvImage::LoadRect(const char* filename,
	int desired_color, CvRect r)
{
	if (r.width < 0 || r.height < 0) return false;

	IplImage* img = cvLoadImage(filename, desired_color);
	if (!img)
		return false;

	if (r.width == 0 || r.height == 0)
	{
		r.width = img->width;
		r.height = img->height;
		r.x = r.y = 0;
	}

	if (r.x > img->width || r.y > img->height ||
		r.x + r.width < 0 || r.y + r.height < 0)
	{
		cvReleaseImage(&img);
		return false;
	}

	/* truncate r to source image */
	if (r.x < 0)
	{
		r.width += r.x;
		r.x = 0;
	}
	if (r.y < 0)
	{
		r.height += r.y;
		r.y = 0;
	}

	if (r.x + r.width > img->width)
		r.width = img->width - r.x;

	if (r.y + r.height > img->height)
		r.height = img->height - r.y;

	cvSetImageROI(img, r);
	CopyOf(img, desired_color);

	cvReleaseImage(&img);
	return true;
}


bool CvvImage::Save(const char* filename)
{
	if (!m_img)
		return false;
	cvSaveImage(filename, m_img);
	return true;
}


void CvvImage::Show(const char* window)
{
	if (m_img)
		cvShowImage(window, m_img);
}


void CvvImage::Show(HDC dc, int x, int y, int w, int h, int from_x, int from_y)
{
	if (m_img && m_img->depth == IPL_DEPTH_8U)
	{
		uchar buffer[sizeof(BITMAPINFOHEADER)+1024];
		BITMAPINFO* bmi = (BITMAPINFO*)buffer;
		int bmp_w = m_img->width, bmp_h = m_img->height;

		FillBitmapInfo(bmi, bmp_w, bmp_h, Bpp(), m_img->origin);

		from_x = MIN(MAX(from_x, 0), bmp_w - 1);
		from_y = MIN(MAX(from_y, 0), bmp_h - 1);

		int sw = MAX(MIN(bmp_w - from_x, w), 0);
		int sh = MAX(MIN(bmp_h - from_y, h), 0);

		SetDIBitsToDevice(
			dc, x, y, sw, sh, from_x, from_y, from_y, sh,
			m_img->imageData + from_y*m_img->widthStep,
			bmi, DIB_RGB_COLORS);
	}
}


void CvvImage::DrawToHDC(HDC hDCDst, RECT* pDstRect)
{
	if (pDstRect && m_img && m_img->depth == IPL_DEPTH_8U && m_img->imageData)
	{
		uchar buffer[sizeof(BITMAPINFOHEADER)+1024];
		BITMAPINFO* bmi = (BITMAPINFO*)buffer;
		int bmp_w = m_img->width, bmp_h = m_img->height;

		CvRect roi = cvGetImageROI(m_img);
		CvRect dst = RectToCvRect(*pDstRect);

		if (roi.width == dst.width && roi.height == dst.height)
		{
			Show(hDCDst, dst.x, dst.y, dst.width, dst.height, roi.x, roi.y);
			return;
		}

		if (roi.width > dst.width)
		{
			SetStretchBltMode(
				hDCDst, // handle to device context
				HALFTONE);
		}
		else
		{
			SetStretchBltMode(
				hDCDst, // handle to device context
				COLORONCOLOR);
		}

		FillBitmapInfo(bmi, bmp_w, bmp_h, Bpp(), m_img->origin);

		::StretchDIBits(
			hDCDst,
			dst.x, dst.y, dst.width, dst.height,
			roi.x, roi.y, roi.width, roi.height,
			m_img->imageData, bmi, DIB_RGB_COLORS, SRCCOPY);
	}
}


void CvvImage::Fill(int color)
{
	cvSet(m_img, cvScalar(color & 255, (color >> 8) & 255, (color >> 16) & 255, (color >> 24) & 255));
}


2.3 添加头文件
在PylonCameraDlg.h中加入下面的头文件:
#include<opencv2/highgui/highgui.hpp>  
PylonCameraDlg.cpp中加入下面的头文件:
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include "CvvImage.h"
#include "afxwin.h"

3. 添加相应的变量

PylonCameraDlg.h中加入public成员:
	Mat frame;               //定义采集帧
	IplImage img;            //定义转换到IplImage图片的类
	VideoCapture capture;    //定义视频显示变量
	CStatic m_pic;           //定义图片控件变量
	int pic_save = 0;               //定义采集图像变量
	bool cameraopen;           //定义相机是否开启

4.添加消息处理函数

在本文中定义了三个Button,一个是用来打开相机的,一个是用来停止相机的,另一个是用来保存当前相机采集的帧图片的,下面将一一介绍各个按钮控件的消息处理函数。

4.1 定义将图片绘制到图片控件区域的函数

首先我们需要定义个drawToDC的函数,也就是将相机采集的当前帧绘制到图片控件上,代码如下:

/*将图片绘制到图片控件区域*/
void CPylonCameraDlg::drawToDC(IplImage* image, UINT ID)
{
	CDC* pDC = GetDlgItem(ID)->GetDC();
	HDC pHdc = pDC->GetSafeHdc();

	CRect rect;
	GetDlgItem(ID)->GetClientRect(&rect);

	CvvImage cimg;
	cimg.CopyOf(image);
	cimg.DrawToHDC(pHdc, rect);

	ReleaseDC(pDC);
}

4.2 打开相机的消息处理函数

这里面我们定义了一个定时器,目的就是为了能够连续的采集相机的当前帧

/*打开摄像机消息处理函数*/
void CPylonCameraDlg::OnBnClickedButtonOpen()
{
	// TODO:  在此添加控件通知处理程序代码
	cameraopen = true;
	capture = 1;  //打开摄像头
	if (capture.isOpened())
	{
		capture >> frame;    //输出采集的帧图像
		IplImage img = frame;     
		drawToDC(&img, IDC_STATIC_PIC);
	}
	SetTimer(1, 10, NULL);   //设置定时器
}
4.3 关闭相机的消息处理函数

/*关闭相机的消息处理函数*/
void CPylonCameraDlg::OnBnClickedButtonStop()
{
	// TODO:  在此添加控件通知处理程序代码
	cameraopen = false;
	capture.release();    //关闭视频采集
	Invalidate();    //刷新窗口
}
4.4 采集图片的消息处理函数

/*采集图片的消息处理函数*/
void CPylonCameraDlg::OnBnClickedButtonGrab()
{
	// TODO:  在此添加控件通知处理程序代码
	if (cameraopen)
	{
		pic_save++;
		char filesave[100];
		sprintf(filesave, "save_%d.jpg", pic_save);
		imwrite(filesave, frame);
		MessageBox(_T("抓取图片成功!"));
	}
	else
		MessageBox(_T("相机未打开!"));
	
}
4.5 定时器函数
/*定时器函数*/
void CPylonCameraDlg::OnTimer(UINT_PTR nIDEvent)
{
	// TODO:  在此添加消息处理程序代码和/或调用默认值
	capture >> frame;
	IplImage img = frame;
	drawToDC(&img, IDC_STATIC_PIC);

	CDialogEx::OnTimer(nIDEvent);
}
5.运行结果

好了,上面就是具体的过程,下图就是运行后的结果。


为了大家能尽快熟悉过程,这里附上源代码文件。



猜你喜欢

转载自blog.csdn.net/weixin_38169413/article/details/68957955