MFC图像处理CImage类常用操作

原文作者：aircraft

原文地址：https://www.cnblogs.com/DOMLX/p/9598974.html

MFC图像处理CImage类常用操作

CImage类头文件为#include<atlimage.h>

CImage类读取图片CImage.Load("src.bmp");

CImage类保存图片CImage.Save("dst.jpg");

一.CImage类实例拷贝数据到另外一个CImage类实例

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bool ImageCopy(const CImage &srcImage, CImage &destImage)
{int i, j;//循环变量if (srcImage.IsNull())return FALSE;//源图像参数BYTE* srcPtr = (BYTE*)srcImage.GetBits();int srcBitsCount = srcImage.GetBPP();int srcWidth = srcImage.GetWidth();int srcHeight = srcImage.GetHeight();int srcPitch = srcImage.GetPitch();//销毁原有图像if (!destImage.IsNull()){destImage.Destroy();}//创建CImage类新图像并分配内存if (srcBitsCount == 32)   //支持alpha通道{destImage.Create(srcWidth, srcHeight, srcBitsCount, 1);}else{destImage.Create(srcWidth, srcHeight, srcBitsCount, 0);}//加载调色板if (srcBitsCount <= 8 && srcImage.IsIndexed())//需要调色板{RGBQUAD pal[256];int nColors = srcImage.GetMaxColorTableEntries();if (nColors>0){srcImage.GetColorTable(0, nColors, pal);destImage.SetColorTable(0, nColors, pal);//复制调色板程序}}//目标图像参数BYTE *destPtr = (BYTE*)destImage.GetBits();int destPitch = destImage.GetPitch();//复制图像数据for (i = 0; i<srcHeight; i++){memcpy(destPtr + i*destPitch, srcPtr + i*srcPitch, abs(srcPitch));}return TRUE;
}

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二.CImage类实例处理图像间的腐蚀运算

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//腐蚀运算

//width:图像宽；height：图像高；矩形掩膜的边长（2*r+1)void erosion(CImage image, int width, int height, int r)
{int i, j, m, n;int flag;//unsigned char * pBuff = tempBuff;CImage Buff;ImageCopy(image, Buff);//dataCopy(image, pBuff, width, height);byte *pImg = (byte *)image.GetBits();byte *pBuff = (byte *)Buff.GetBits();int step = image.GetPitch();//int height = image.GetHeight();//int width = image.GetWidth();for (i = r; i<height - r; i++){for (j = r; j<width - r; j++){flag = 1;for (m = i - r; m <= i + r; m++){for (n = j - r; n <= j + r; n++){//if (!pBuff[i*width + j] || !pBuff[m*width + n])if (!*(pBuff + i*step + j) || !*(pBuff + m*step + n)){flag = 0;break;}}}if (flag == 0){*(pImg + i*step + j) = 0;}else{*(pImg + i*step + j) = 255;}}}
}

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三.CImage类实例处理图像间的膨胀运算

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//膨胀运算
//width:图像宽；height：图像高；矩形掩膜的边长（2*r+1)
void diate(CImage image, int width, int height, int r)
{int i, j, m, n;int flag;//unsigned char * pBuff = tempBuff;CImage Buff;ImageCopy(image, Buff);//dataCopy(image, pBuff, width, height);byte *pImg = (byte *)image.GetBits();byte *pBuff = (byte *)Buff.GetBits();int step = image.GetPitch();//int height = image.GetHeight();//int width = image.GetWidth();//dataCopy(image, pBuff, width, height);for (i = r; i<height - r; i++){for (j = r; j<width - r; j++){flag = 1;for (m = i - r; m <= i + r; m++){for (n = j - r; n <= j + r; n++){if (255 == *(pBuff + i*step + j) || 255 == *(pBuff + m*step + n)){flag = 0;break;}}}if (flag == 0){*(pImg + i*step + j) = 255;}else{*(pImg + i*step + j) = 0;}}}
}

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四.CImage类实例处理图片遍历赋值操作

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五.用CImage类实例遍历生成手指静脉边缘图

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#define  mlen  9 //模板长度
//加长扩展的水平边缘检测模板
int upperEdgeOperator[mlen * 3] =
{-1, -1, -1, -1, -1, -1, -1, -1, -1,0, 0, 0, 0, 0, 0, 0, 0, 0,1, 1, 1, 1, 1, 1, 1, 1, 1
};
int lowerEdgeOperator[mlen * 3] =
{1, 1, 1, 1, 1, 1, 1, 1, 1,0, 0, 0, 0, 0, 0, 0, 0, 0,-1, -1, -1, -1, -1, -1, -1, -1, -1
};int findEdgesHorizontal(CImage& imgSrc, CImage& imgDst)
{int maxY = imgSrc.GetHeight();int maxX = imgSrc.GetWidth();if (!imgDst.IsNull()){imgDst.Destroy();}imgDst.Create(maxX, maxY, 8, 0);//图像大小与imgSrc相同，每个像素占1字节if (imgDst.IsNull())return FALSE;byte *pImg = (byte *)imgSrc.GetBits();byte *pDstImg = (byte *)imgDst.GetBits();int step = imgSrc.GetPitch();int height = imgSrc.GetHeight();int width = imgSrc.GetWidth();int sum = 0;unsigned char val = 0;//初始化for (int i = 0; i<maxY; i++)for (int j = 0; j<maxX; j++)*(pDstImg + i*step + j) = 0;//找上边缘for (int i = 1; i <maxY / 2 - 1; i++){for (int j = 4; j < maxX - 4; j++){sum = 0;for (int m = -1; m <= 1; m++){for (int n = -mlen / 2; n <= mlen / 2; n++){sum += *(pImg + (i + m)*step + (j + n))*upperEdgeOperator[(m + 1)*mlen + (n + mlen / 2)];}}sum = sum < 0 ? 0 : sum;sum = sum > 255 ? 255 : sum;val = unsigned char(sum);*(pDstImg + i*step + j) = val;}}//找下边缘for (int i = maxY / 2 + 1; i <maxY - 1; i++){for (int j = 4; j < maxX - 4; j++){sum = 0;for (int m = -1; m <= 1; m++){for (int n = -mlen / 2; n <= mlen / 2; n++){sum += *(pImg + (i + m)*step + (j + n))*upperEdgeOperator[(m + 1)*mlen + (n + mlen / 2)];;}}sum = sum < 0 ? 0 : sum;sum = sum > 255 ? 255 : sum;val = unsigned char(sum);*(pDstImg + i*step + j) = val;}}return TRUE;
}

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六.CImage图像类实例将RGB图转为灰度（gary）图

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BOOL ImageToGray(CImage& imgSrc, CImage& imgDst)
{int maxY = imgSrc.GetHeight();int maxX = imgSrc.GetWidth();if (!imgDst.IsNull()){imgDst.Destroy();}imgDst.Create(maxX, maxY, 8, 0);//图像大小与imgSrc相同，每个像素占1字节if (imgDst.IsNull())return FALSE;//为imgDst构造256阶灰度调色表RGBQUAD ColorTab[256];for (int i = 0; i<256; i++){ColorTab[i].rgbBlue = ColorTab[i].rgbGreen = ColorTab[i].rgbRed = i;}imgDst.SetColorTable(0, 256, ColorTab);byte* pDataSrc = (byte*)imgSrc.GetBits(); //获取指向图像数据的指针byte* pDataDst = (byte*)imgDst.GetBits();int pitchSrc = imgSrc.GetPitch(); //获取每行图像占用的字节数 +：top-down；-：bottom-up DIBint pitchDst = imgDst.GetPitch();int bitCountSrc = imgSrc.GetBPP() / 8;  // 获取每个像素占用的字节数int bitCountDst = imgDst.GetBPP() / 8;if ((bitCountSrc != 3) || (bitCountDst != 1))return FALSE;int tmpR, tmpG, tmpB, avg;for (int i = 0; i<maxX; i++){for (int j = 0; j<maxY; j++){tmpR = *(pDataSrc + pitchSrc*j + i*bitCountSrc);tmpG = *(pDataSrc + pitchSrc*j + i*bitCountSrc + 1);tmpB = *(pDataSrc + pitchSrc*j + i*bitCountSrc + 2);avg = (int)(tmpR + tmpG + tmpB) / 3;*(pDataDst + pitchDst*j + i*bitCountDst) = avg;}}return TRUE;
}

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七.CImage类转opencv Mat类以及Mat类转CImage类

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#include "stdafx.h"
#include <opencv2/opencv.hpp>
#include "CimgMat.h"void CimgMat::MatToCImage(Mat& mat, CImage& cimage)
{if (0 == mat.total()){return;}int nChannels = mat.channels();if ((1 != nChannels) && (3 != nChannels)){return;}int nWidth = mat.cols;int nHeight = mat.rows;//重建cimagecimage.Destroy();cimage.Create(nWidth, nHeight, 8 * nChannels);//拷贝数据uchar* pucRow;                                    //指向数据区的行指针uchar* pucImage = (uchar*)cimage.GetBits();        //指向数据区的指针int nStep = cimage.GetPitch();                    //每行的字节数,注意这个返回值有正有负if (1 == nChannels)                                //对于单通道的图像需要初始化调色板{RGBQUAD* rgbquadColorTable;int nMaxColors = 256;rgbquadColorTable = new RGBQUAD[nMaxColors];cimage.GetColorTable(0, nMaxColors, rgbquadColorTable);for (int nColor = 0; nColor < nMaxColors; nColor++){rgbquadColorTable[nColor].rgbBlue = (uchar)nColor;rgbquadColorTable[nColor].rgbGreen = (uchar)nColor;rgbquadColorTable[nColor].rgbRed = (uchar)nColor;}cimage.SetColorTable(0, nMaxColors, rgbquadColorTable);delete[]rgbquadColorTable;}for (int nRow = 0; nRow < nHeight; nRow++){pucRow = (mat.ptr<uchar>(nRow));for (int nCol = 0; nCol < nWidth; nCol++){if (1 == nChannels){*(pucImage + nRow * nStep + nCol) = pucRow[nCol];}else if (3 == nChannels){for (int nCha = 0; nCha < 3; nCha++){*(pucImage + nRow * nStep + nCol * 3 + nCha) = pucRow[nCol * 3 + nCha];}}}}
}void CimgMat::CImageToMat(CImage& cimage, Mat& mat)
{if (true == cimage.IsNull()){return;}int nChannels = cimage.GetBPP() / 8;if ((1 != nChannels) && (3 != nChannels)){return;}int nWidth = cimage.GetWidth();int nHeight = cimage.GetHeight();//重建matif (1 == nChannels){mat.create(nHeight, nWidth, CV_8UC1);}else if (3 == nChannels){mat.create(nHeight, nWidth, CV_8UC3);}//拷贝数据uchar* pucRow;                                    //指向数据区的行指针uchar* pucImage = (uchar*)cimage.GetBits();        //指向数据区的指针int nStep = cimage.GetPitch();                    //每行的字节数,注意这个返回值有正有负for (int nRow = 0; nRow < nHeight; nRow++){pucRow = (mat.ptr<uchar>(nRow));for (int nCol = 0; nCol < nWidth; nCol++){if (1 == nChannels){pucRow[nCol] = *(pucImage + nRow * nStep + nCol);}else if (3 == nChannels){for (int nCha = 0; nCha < 3; nCha++){pucRow[nCol * 3 + nCha] = *(pucImage + nRow * nStep + nCol * 3 + nCha);}}}}
}

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八.纯图像数据赋值给CImage后的初始化，并且写入调色板

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bool InitalImage(CImage &image, int width, int height)
{if (image.IsNull())image.Create(width, height, 8);else{if (width <= 0 || height <= 0)return false;else if (image.GetHeight() == width && image.GetWidth() == height)return true;else{image.Destroy();image.Create(width, height, 8);}}//写入调色板RGBQUAD ColorTable[256];image.GetColorTable(0, 256, ColorTable);for (int i = 0; i < 256; i++){ColorTable[i].rgbBlue = (BYTE)i;ColorTable[i].rgbGreen = (BYTE)i;ColorTable[i].rgbRed = (BYTE)i;}image.SetColorTable(0, 256, ColorTable);return true;
}

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九.根据MFC控件大小CImage类实例图片显示

if(m_image2.IsNull()) //判断有无图像

return;

// 取得客户区尺寸

CRect zcRect;

GetDlgItem(IDC_STATIC_PIC2)->GetClientRect(&zcRect);

// 将图像显示在界面之上

m_image2.Draw(GetDlgItem(IDC_STATIC_PIC2)->GetDC()->m_hDC,

zcRect.left,

zcRect.top,

zcRect.Width(),

zcRect.Height());

十.根据CImage类实例图片调整控件大小显示图片

if(m_image1.IsNull())

return;

// 将整控件调整为与图像同一尺寸

GetDlgItem(IDC_STATIC_PIC)->SetWindowPos(NULL,

0,0,m_image1.GetWidth(), m_image1.GetHeight(),

SWP_NOMOVE);

CRect zcRect;

GetDlgItem(IDC_STATIC_PIC)->GetClientRect(&zcRect);

m_image1.Draw(GetDlgItem(IDC_STATIC_PIC)->GetDC()->m_hDC,

zcRect.left,

zcRect.top,

zcRect.Width(),

zcRect.Height());

十一.CImage类与CBitmap转换

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    CImage nImage;nImage.Load(imgFilePath);HBITMAP hBitmap=nImage.Detach(); // 获得位图句柄 用以转换// 转换方式一：CBitmap bmp;bmp.DeleteObject();bmp.Attach(hBitmap); //  转换为CBitmap对象// 转换方式二：CBitmap *pBitmap=CBitmap::FromHandle(nImage.m_hBitmap);

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十二.CImage类实例实现图像二值化

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void imgBinary(CImage image, int imgW, int imgH, int threshold)
{int i;int index = 0;byte *pImg = (byte *)image.GetBits();int step = image.GetPitch();int height = image.GetHeight();int width = image.GetWidth();for (i = 0; i<height*width; i++){*(pImg + index) = *(pImg + index)>threshold ? 255 : 0;index++;}}

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十三.CImage实现自己的argmax函数----求图像一定高度区域中某一列遇到的第一个最大像素值得坐标并返回

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int  argmax(CImage &image,int Top,int Bottom,int x)
{int max = 0;int tem;int pos = 0;byte *pImg = (byte *)image.GetBits();int step = image.GetPitch();int height = image.GetHeight();int width = image.GetWidth();if (Top > 0 && Top < height && Bottom > 0 && Bottom < height && x > 0 && x < width){for (int i = Top; i < Bottom; ++i){tem = *(pImg + i*step + x);if (tem > max){max = tem;pos = i;}}return pos;}else{return FALSE;}}

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十四.CImage类创建指定长宽图像并初始化调色板

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bool InitalImage(CImage &image, int width, int height)
{if (image.IsNull())image.Create(width, height, 8);else{if (width <= 0 || height <= 0)return false;else if (image.GetHeight() == width && image.GetWidth() == height)return true;else{image.Destroy();image.Create(width, height, 8);}}//写入调色板RGBQUAD ColorTable[256];image.GetColorTable(0, 256, ColorTable);for (int i = 0; i < 256; i++){ColorTable[i].rgbBlue = (BYTE)i;ColorTable[i].rgbGreen = (BYTE)i;ColorTable[i].rgbRed = (BYTE)i;}image.SetColorTable(0, 256, ColorTable);return true;
}

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十五.将存放在一维指针数组里的图像数据赋值给CImage类实例

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void LoadImageData(CImage &image, unsigned char * data)
{if (data == nullptr)return;byte *pS;byte *pImg = (byte *)image.GetBits();int step = image.GetPitch();int height = image.GetHeight();int width = image.GetWidth();for (int i = 0; i < image.GetHeight(); ++i){pS = data + i * width;for (int j = 0; j < image.GetWidth(); ++j){*(pImg + i*step + j) = pS[j];}}
}

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十六.CImage类自己实现图片的裁剪

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//裁剪roi区域
void RoiCut(CImage &image, CImage &roiImg, int heightTop,int heightDown,int widthBegin,int widthEnd)
{InitalImage(roiImg, heightDown - heightTop + 1, widthBegin - widthEnd + 1);byte *pImg = (byte *)image.GetBits();byte *pRoi = (byte *)roiImg.GetBits();int step = image.GetPitch();int height = image.GetHeight();int width = image.GetWidth();int index = 0;for (int i = heightTop; i < heightDown; i++){for (int j = widthBegin; j < widthEnd; j++){*(pRoi + index) = *(pImg + i*step + j);index++;}}}

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