VS2015+opencv+MFC+显示图片
网上有很多关于在MFC显示图片的教程，但是看下来感觉对一个小白来说太过于麻烦，总有些东西没有写完成，操作下来总有些错误，实在没有办法我只好下了一个可以运行的例子，比较之后自己按照下载的例子模仿操作总算可以显示图片了， 下面是我对opencv在MFC显示图片的总结，我将一步一步的阐述，尽可能的详细来讲。
1 新建MFC应用程序
2 选择基于对话框
3 下面不再进行设置，直接点击完成
4 添加CvvImage.h和CvvImage.cpp文件
CvvImage.h文件
#include "opencv/cv.h"
#include "opencv/highgui.h"
#pragma once
#ifndef CVVIMAGE_CLASS_DEF
#define CVVIMAGE_CLASS_DEF
#include "opencv.hpp"
class CvvImage
{
public:
CvvImage();
virtual ~CvvImage();
virtual bool Create(int width, int height, int bits_per_pixel, int image_origin = 0);
virtual bool Load(const char* filename, int desired_color = 1);
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
virtual bool Save(const char* filename);
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);
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);
virtual void Show(const char* window);
#if defined WIN32 || defined _WIN32
virtual void Show(HDC dc, int x, int y, int width, int height,
int from_x = 0, int from_y = 0);
virtual void DrawToHDC(HDC hDCDst, RECT* pDstRect);
#endif
protected:
IplImage* m_img;
};
//typedef CvvImage CImage;
namespace cv
{
typedef CvvImage CImage;
}
#endifCvvImage.cpp文件
#include "StdAfx.h"
#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();
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;
}
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));
}解决方案中的文件如下图所示
5 在你的dlg.h文件中添加#include"CvvImage.h" 和你的dlg类中添加属性与方法
我的dlg类为Test1Dlg dlg.h为Test1Dlg.h
6 在你的dlg.cpp文件中定义ShowImage
我的dlg.cpp为test1Dlg.cpp
void Ctest1Dlg::ShowImage(IplImage* img, UINT ID) //在picture控件中显示图片的代码
{
CDC* pDC = GetDlgItem(ID)->GetDC();
HDC hDC = pDC->GetSafeHdc();
CRect rect;
GetDlgItem(ID)->GetClientRect(&rect);
SetRect(rect, rect.left, rect.top, rect.right, rect.bottom);
CvvImage cimg;
cimg.CopyOf(img); // 复制图片
cimg.DrawToHDC(hDC, &rect); // 将图片绘制到显示控件的指定区域内
ReleaseDC(pDC);
}
以上我们已经定义完了显示在Picture Control中的方法，下面我们通过button调用该方法达到显示图片的效果
7 在DIALOG面板中删除原本带有的三个控件 添加 一个Picture Control和一个Button
点击工具栏选取
将button的名字设置为打开图片 选中button，在属性里设置
8 双击打开图片按钮设置点击按钮的方法
代码如下
void Ctest1Dlg::OnBnClickedButton1()
{
// TODO: 在此添加控件通知处理程序代码
// TODO: 在此添加控件通知处理程序代码
CString m_strPicPath;
//弹出选择图片对话框
CFileDialog dlg(true, _T("*.bmp"), NULL, OFN_FILEMUSTEXIST | OFN_PATHMUSTEXIST | OFN_HIDEREADONLY, _T("image file(*.bmp;*.jpg)|*.bmp;*.jpg|All Files(*.*)|*.*|"), NULL);
dlg.m_ofn.lpstrTitle = _T("Open Image");// 打开文件对话框的标题名
if (dlg.DoModal() != IDOK) // 判断是否获得视频
return;
m_strPicPath = dlg.GetPathName(); //获取图片路径
m_strPicPath.Replace(_T("//"), _T("////"));
TheImage = cvLoadImage((CT2CA)m_strPicPath, 1); //读取彩色图
Src = cvLoadImage((CT2CA)m_strPicPath, 0); //读取灰度图片
if (TheImage != NULL)
{
ShowImage(TheImage, IDC_STATIC);
}
//显示灰度图
/*if (Src != NULL)
{
ShowImage(Src, IDC_STATIC);
}*/
}
9 点击运行
10 点击打开图片 选取一张图片 正确显示
我说的都是我们自己要操作的步骤，还有一些不需要我们操作但是代码有增多的地方，不过是添加按钮的一些比较少的代码，不需要我们自己操作