📄 facedetectiondoc.cpp
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eye1count++;
//把当前点改成白色
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 255;
}
//如果当前象素的数值为2
else if(*(lpData + lOffset) == 2)
{
//眼睛2的横坐标和纵坐标加上当前点的坐标值
eye2.x +=j;
eye2.y +=i;
//象素点个数加一
eye2count++;
//把当前点设置为白色
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 255;
}
}
//计算眼睛的中心点坐标
eye1.x /=eye1count;
eye1.y /=eye1count;
eye2.x /=eye2count;
eye2.y /=eye2count;
//把中心点设置为绿色
lOffset = eye1.y*wBytesPerLine + eye1.x*3;
*(lpData + lOffset++) = 0;
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 0;
lOffset = eye2.y*wBytesPerLine + eye2.x*3;
*(lpData + lOffset++) = 0;
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 0;
::GlobalUnlock((HGLOBAL) m_hDIB);
}
void CFaceDetectionDoc::FunctionMouseMap(LPBYTE lpRgb, const LPBYTE lpYcc, WORD wBytesPerLine, CRect faceLocation)
{
//下面的循环在人脸的区域内实现嘴巴的匹配
for (int i=faceLocation.top; i<faceLocation.bottom; i++)
for (int j=faceLocation.left; j<faceLocation.right; j++)
{
//得到偏移
long lOffset = i*wBytesPerLine + j*3;
//得到cr,cb的数值
int cr = *(lpYcc+lOffset+1);
int cb = *(lpYcc+lOffset+2);
//标志
bool lab;
int mapm;
//根据cr的数值设定标志
cr = cr-157;//143;
if(cr <-6 || cr>6)
{
cr = 0;
}
cr *=cr;
if(cr>16)
lab = true;
else
lab = false;
//根据cb的时值设定标志
cb= cb-118;//120;
if(cb<-5 || cb >5)
{
cb = 0;
if(lab = true)
lab = false;
}
//如果cr,cb两项数值都在设定的范围之内,则设定颜色位白色,否则黑色
if(lab)
mapm = 255;
else
mapm = 0;
*(lpRgb + lOffset++) = mapm;
*(lpRgb + lOffset++) = mapm;
*(lpRgb + lOffset++) = mapm;
}
}
void CFaceDetectionDoc::MouseMap()
{
LPBYTE lpYcc2;
LPBITMAPINFOHEADER lpbi;
lpbi = (LPBITMAPINFOHEADER)::GlobalLock((HGLOBAL) m_hDIB);//读取头文件
lLineBytesMulspec = WIDTHBYTES((lpbi->biWidth)*24);
::GlobalUnlock((HGLOBAL) m_hDIB);
int width,height;
long wBytesPerLine;
LPSTR lpDIB = (LPSTR) ::GlobalLock((HGLOBAL) m_hDIB);
// 获取DIB宽度
width= (int) ::DIBWidth(lpDIB);
// 获取DIB高度
height= (int) ::DIBHeight(lpDIB);
//得到图片每行的象素所占字节个数
wBytesPerLine = lLineBytesMulspec;
LPBYTE lpData;
long lOffset;
lpData = (unsigned char*)::FindDIBBits(lpDIB);
lpYcc2 = new BYTE[wBytesPerLine * height];
RgbtoYcb(m_hDIBtemp,lpYcc2);
FunctionMouseMap(lpData,lpYcc2,wBytesPerLine,CRect(0,0,width-1,height-1));
::GlobalUnlock((HGLOBAL) m_hDIB);
}
void CFaceDetectionDoc::DeleteScatePoint()
{
LPBITMAPINFOHEADER lpbi;
lpbi = (LPBITMAPINFOHEADER)::GlobalLock((HGLOBAL) m_hDIB);//读取头文件
lLineBytesMulspec = WIDTHBYTES((lpbi->biWidth)*24);
::GlobalUnlock((HGLOBAL) m_hDIB);
int width,height;
long wBytesPerLine;
LPSTR lpDIB = (LPSTR) ::GlobalLock((HGLOBAL) m_hDIB);
// 获取DIB宽度
width= (int) ::DIBWidth(lpDIB);
// 获取DIB高度
height= (int) ::DIBHeight(lpDIB);
//得到图片每行的象素所占字节个数
wBytesPerLine = lLineBytesMulspec;
LPBYTE lpData;
long lOffset;
lpData = (unsigned char*)::FindDIBBits(lpDIB);
for (int i=0; i<height; i++)
for(int j=0; j<width; j++)
{
//得到偏移
lOffset =i*wBytesPerLine + j*3;
//如果当前点为白色点
if(*(lpData + lOffset) == 255)
{
//设定判断数组
for(int ii = 0;ii<ImgRange;ii++)
for (int jj=0; jj<ImgRange; jj++)
this->lab[ii][jj] = false;
//设定判断长度
lenth=0;
//判断是否为离散点
bool judge = IsScaterPoint(j, i, width,height,lpData,wBytesPerLine,3,lab);
if(!judge)
{
//是离散点则把该点设置为黑色
*(lpData + lOffset++) = 0;
*(lpData + lOffset++) = 0;
*(lpData + lOffset++) = 0;
}
}
}
::GlobalUnlock((HGLOBAL) m_hDIB);
}
BOOL CFaceDetectionDoc::IsScaterPoint(int x, int y, int width, int height, LPBYTE lpData,WORD wBytesPerLine, int threshold,bool lab[m_HEIGHT][m_WIDTH])
{
long lOffset;
//得到数据的偏移
lOffset = y*wBytesPerLine + x*3;
//判断该点是否为白色以及是否计算过了
if(*(lpData+lOffset) == 255 && lab[y][x] == false)
{
//链长度加一
lenth++;
//更改标志位
lab[y][x] = true;
//如果链长度达到临界值则返回真
if(lenth >= threshold)
return true;
//对右边点的边界判断以及标志位判断
if(x+1<width && lab[y][x+1] == false)
{
//递归调用本函数,对右边的点进行判断
IsScaterPoint(x+1,y,width,height,lpData,wBytesPerLine,threshold,lab);
if(lenth>=threshold)
return true;
}
//处理左边的点
if(x-1>=0 && lab[y][x-1] == false)
{
(IsScaterPoint(x-1,y,width,height,lpData,wBytesPerLine,threshold,lab));
if(lenth>=threshold)
return true;
}
//处理上面的点
if(y-1>=0 && lab[y-1][x]==false)
{
(IsScaterPoint(x,y-1,width,height,lpData,wBytesPerLine,threshold,lab));
if(lenth>=threshold)
return true;
}
//处理下面的点
if(y+1<height && lab[y+1][x]==false)
{ (IsScaterPoint(x,y+1,width,height,lpData,wBytesPerLine,threshold,lab));
if(lenth>=threshold)
return true;
}
//处理右下的点
if(y+1<height && x+1 <width && lab[y+1][x+1]==false)
{ (IsScaterPoint(x+1,y+1,width,height,lpData,wBytesPerLine,threshold,lab));
if(lenth>=threshold)
return true;
}
//处理左下的点
if(y+1<height && x-1 >=0 && lab[y+1][x-1]==false)
{ (IsScaterPoint(x-1,y+1,width,height,lpData,wBytesPerLine,threshold,lab));
if(lenth>=threshold)
return true;
}
//处理左上的点
if(y-1>=0 && x-1 >=0 &&lab[y-1][x-1]==false)
{ (IsScaterPoint(x-1,y-1,width,height,lpData,wBytesPerLine,threshold,lab));
if(lenth>=threshold)
return true;
}
//处理右上的点
if(y-1<height && x+1<width && lab[y+1][x]==false)
{ (IsScaterPoint(x+1,y-1,width,height,lpData,wBytesPerLine,threshold,lab));
if(lenth>=threshold)
return true;
}
}
//如果递归结束,长度达不到临界值,返回假
return false;
}
void CFaceDetectionDoc::MouthCenter(CPoint &mouthLocation)
{
LPBITMAPINFOHEADER lpbi;
lpbi = (LPBITMAPINFOHEADER)::GlobalLock((HGLOBAL) m_hDIB);//读取头文件
lLineBytesMulspec = WIDTHBYTES((lpbi->biWidth)*24);
::GlobalUnlock((HGLOBAL) m_hDIB);
int width,height;
long wBytesPerLine;
LPSTR lpDIB = (LPSTR) ::GlobalLock((HGLOBAL) m_hDIB);
// 获取DIB宽度
width= (int) ::DIBWidth(lpDIB);
// 获取DIB高度
height= (int) ::DIBHeight(lpDIB);
//得到图片每行的象素所占字节个数
wBytesPerLine = lLineBytesMulspec;
LPBYTE lpData;
long lOffset;
lpData = (unsigned char*)::FindDIBBits(lpDIB);
//下面的三个变量用来累计嘴巴区域的象素的x,y和象素点数
int xnum = 0 ;
int ynum = 0 ;
int count = 0;
CRect faceLocation(0,0,width-1,height-1);
for (int i=faceLocation.top; i<faceLocation.bottom; i++)
for (int j=faceLocation.left; j<faceLocation.right; j++)
{
lOffset = i*wBytesPerLine + j*3;
//白色点
if(*(lpData + lOffset) == 255)
{
//x值加
xnum +=j;
//y值加
ynum +=i;
//点数加
count++;
}
}
//得到中心点位置
mouthLocation.x = xnum/count;
mouthLocation.y = ynum/count;
//把中心点设置位绿色
lOffset = mouthLocation.y*wBytesPerLine + mouthLocation.x*3;
*(lpData + lOffset++) =0;
*(lpData + lOffset++) =255;
*(lpData + lOffset++) =0;
::GlobalUnlock((HGLOBAL) m_hDIB);
}
void CFaceDetectionDoc::EllipseFace(CPoint mouth, CPoint eye1, CPoint eye2,CRect faceLocation)
{
LPBITMAPINFOHEADER lpbi;
lpbi = (LPBITMAPINFOHEADER)::GlobalLock((HGLOBAL) m_hDIBtemp);//读取头文件
lLineBytesMulspec = WIDTHBYTES((lpbi->biWidth)*24);
::GlobalUnlock((HGLOBAL) m_hDIBtemp);
int width,height;
long wBytesPerLine;
LPSTR lpDIB = (LPSTR) ::GlobalLock((HGLOBAL) m_hDIBtemp);
// 获取DIB宽度
width= (int) ::DIBWidth(lpDIB);
// 获取DIB高度
height= (int) ::DIBHeight(lpDIB);
//得到图片每行的象素所占字节个数
wBytesPerLine = lLineBytesMulspec;
LPBYTE lpData;
long lOffset;
lpData = (unsigned char*)::FindDIBBits(lpDIB);
//用dda算法画三角形
DdaLine(mouth,eye1,lpData,wBytesPerLine);
DdaLine(mouth,eye2,lpData,wBytesPerLine);
DdaLine(eye1,eye2,lpData,wBytesPerLine);
/*
//椭圆的中心点和两个焦点坐标
int ellipsecenter_x;
int ellipsecenter_y;
int ellipseFocusTop_x;
int ellipseFocusTop_y;
int ellipseFocusBottom_x;
int ellipseFocusBottom_y;
//根据眼睛和嘴巴的坐标计算椭圆的中心点坐标
ellipsecenter_x = (eye1.x + eye2.x + mouth.x )/3;
ellipsecenter_y = (eye1.y + eye2.y)/2 -abs(eye2.x - eye1.x)/2;
//上面的焦点
ellipseFocusTop_x = ellipsecenter_x;
ellipseFocusBottom_x = ellipsecenter_x;
//下面的焦点
ellipseFocusTop_y = ellipsecenter_y + (eye1.y +eye2.y)/2 -mouth.y;
ellipseFocusBottom_y = ellipsecenter_y - ((eye1.y +eye2.y)/2 -mouth.y)+2;
//长轴
int a = (eye1.x-eye2.x)*2-2;
for (int i=0; i<height; i++)
for (int j=0; j<width; j++)
{
//得到一个点到两个焦点的距离和
int lenth = sqrt(pow(j-ellipseFocusTop_x,2)+pow(i-ellipseFocusTop_y,2))
+sqrt(pow(j-ellipseFocusBottom_x,2)+ pow(i-ellipseFocusBottom_y,2));
//判断距离和与长轴的关系
if(lenth<2*a+2 && lenth >2*a-2)
{
//把点设置为绿色
lOffset =i*wBytesPerLine + j*3;
*(lpData + lOffset++) = 0;
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 0;
}
}*/
for (int j=faceLocation[0].top; j<faceLocation[0].bottom; j++)
{
//把得到的人脸区域用绿色矩形标注,处理竖直的两条边
lOffset = j*wBytesPerLine + faceLocation[0].left*3;
*(lpData + lOffset++) = 0;
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 0;
lOffset = j*wBytesPerLine + faceLocation[0].right*3;
*(lpData + lOffset++) = 0;
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 0;
}
for (j=faceLocation[0].left; j<faceLocation[0].right; j++)
{
//处理水平的两天矩形边
lOffset = faceLocation[0].top*wBytesPerLine + j*3;
*(lpData + lOffset++) = 0;
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 0;
lOffset = faceLocation[0].bottom*wBytesPerLine + j*3;
*(lpData + lOffset++) = 0;
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 0;
}
::GlobalUnlock((HGLOBAL) m_hDIBtemp);
m_hDIB = (HDIB)CopyHandle(m_hDIBtemp);
}
void CFaceDetectionDoc::DdaLine(CPoint from, CPoint end, LPBYTE lpData, WORD wBytesPerLine)
{
//x,y的增量
float delta_x;
float delta_y;
//x,y的坐标
float x;
float y;
//x,y上的差值
int dx;
int dy;
//总的步长
int steps;
int k;
//得到x,y的差值
dx = end.x - from.x;
dy = end.y - from.y;
//判断x,y上的差值大小,确定步长
if(abs(dx) > abs(dy))
{
steps = abs(dx);
}
else
{
steps = abs(dy);
}
//得到每次增量的大小
delta_x = (float)dx / (float)steps;
delta_y = (float)dy / (float)steps;
//设定x,y的起点
x = (float)from.x;
y = (float)from.y;
//设定初始点的颜色为绿色
long lOffset = y*wBytesPerLine + x*3;
*(lpData + lOffset++) = 0;
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 0;
//根据计算得到的步长,把直线上的点填充成绿色
for (k=1;k<=steps; k++)
{
//x,y分别加上各自的增量
x+=delta_x;
y+=delta_y;
//设置点的颜色
lOffset = y*wBytesPerLine + x*3;
*(lpData + lOffset++) = 0;
*(lpData + lOffset++) = 255;
*(lpData + lOffset++) = 0;
}
}
void CFaceDetectionDoc::OnFileSaveAs(LPCTSTR lpszPathName)
{
CFile file;
if(!file.Open(lpszPathName, CFile::modeCreate |// 打开文件
CFile::modeReadWrite | CFile::shareExclusive))
{
return;// 返回FALSE
}
BOOL bSuccess = FALSE;
bSuccess = ::SaveDIB(m_hDIB, file); // 保存图象
file.Close();// 关闭文件
SetModifiedFlag(FALSE);// 重置胀标记为FALSE
if (!bSuccess)
{
AfxMessageBox("保存BMP图象时出错");// 提示出错
}
}
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