今天主要把深度数据和骨骼还有视频数据同步起来。算是上一次的三个的组合吧。期间遇到点白痴的问题整治了一下午：带ID的数据的ID是否准确。而且差点把自己的质疑给发到博客上来，竟然是自己代码的错误。伤心伤心。。。
直接把代码贴出来吧，也许有人觉得贴代码没水平，嗨，给自己留个小版本说不定以后还用得着，而且自信自己代码写的还算是规范，方便后来人嘛。再有一点，那个getTheContour函数画蛇添足了，实际直接利用深度数据的ID就可以抠出任务的区域。
先上实验结果：这是实时图像
然后是深度图像、骨骼图像和抠出的人体区域
这是代码，希望可以帮助到大家，当然，如果有错误欢迎指正：
#include <iostream>
#include <fstream>
#include "math.h"
#include "Windows.h"
#include "MSR_NuiApi.h"
#include "cv.h"
#include "highgui.h"
using namespace std;
bool tracked[NUI_SKELETON_COUNT]={FALSE};
CvPoint skeletonPoint[NUI_SKELETON_COUNT][NUI_SKELETON_POSITION_COUNT]={cvPoint(0,0)};
CvPoint colorPoint[NUI_SKELETON_COUNT][NUI_SKELETON_POSITION_COUNT]={cvPoint(0,0)};
void getColorImage(HANDLE &colorEvent, HANDLE &colorStreamHandle, IplImage *colorImage);
void getDepthImage(HANDLE &depthEvent, HANDLE &depthStreamHandle, IplImage *depthImage);
void getSkeletonImage(HANDLE &skeletonEvent, IplImage *skeletonImage, IplImage *colorImage, IplImage *depthImage);
void drawSkeleton(IplImage *image, CvPoint pointSet[], int witchone);
void getTheContour(IplImage *image, int whichone, IplImage *mask);//得到各个人物的轮廓
int main()
{
IplImage *colorImage = cvCreateImage(cvSize(640, 480), 8, 3);
IplImage *depthImage = cvCreateImage(cvSize(320, 240), 8, 3);
IplImage *skeletonImage = cvCreateImage(cvSize(320, 240), 8, 3);
IplImage *mask = cvCreateImage(cvSize(320, 240), 8, 3);
HANDLE colorEvent = CreateEvent( NULL, TRUE, FALSE, NULL );
HANDLE depthEvent = CreateEvent( NULL, TRUE, FALSE, NULL );
HANDLE skeletonEvent = CreateEvent( NULL, TRUE, FALSE, NULL );
HANDLE colorStreamHandle = NULL;
HANDLE depthStreamHandle = NULL;
HRESULT hr = NuiInitialize(NUI_INITIALIZE_FLAG_USES_COLOR | NUI_INITIALIZE_FLAG_USES_DEPTH_AND_PLAYER_INDEX | NUI_INITIALIZE_FLAG_USES_SKELETON);
if( hr != S_OK )
{
cout<<"NuiInitialize failed"<<endl;
return hr;
}
hr = NuiImageStreamOpen(NUI_IMAGE_TYPE_COLOR, NUI_IMAGE_RESOLUTION_640x480, NULL, 4, colorEvent, &colorStreamHandle);
if( hr != S_OK )
{
cout<<"Open the color Stream failed"<<endl;
NuiShutdown();
return hr;
}
hr = NuiImageStreamOpen(NUI_IMAGE_TYPE_DEPTH_AND_PLAYER_INDEX, NUI_IMAGE_RESOLUTION_320x240, NULL, 2, depthEvent, &depthStreamHandle);
if( hr != S_OK )
{
cout<<"Open the depth Stream failed"<<endl;
NuiShutdown();
return hr;
}
hr = NuiSkeletonTrackingEnable( skeletonEvent, 0 );//打开骨骼跟踪事件
if( hr != S_OK )
{
cout << "NuiSkeletonTrackingEnable failed" << endl;
NuiShutdown();
return hr;
}
//HANDLE hEvents[3];
//int nEventIdx;
//hEvents[0] = colorEvent;
//hEvents[1] = depthEvent;
//hEvents[2] = skeletonEvent;
int a=0;
while (1)
{
//刚开始想用WaitForMultipleObjects，但是怎么调都是值显示视频，深度很少显示，骨骼直接不显示。
//自己理解不深入，只能临时用WaitForSingleObject这样了。
//nEventIdx = WaitForMultipleObjects(sizeof(hEvents)/sizeof(hEvents[0]), hEvents, FALSE, 10);
////cout << nEventIdx << endl;
//switch(nEventIdx)
//{
//case 0:
// //if(WaitForSingleObject(colorEvent, 0)==0)
// getColorImage(colorEvent, colorStreamHandle, colorImage);
// break;
//case 1:
// //if(WaitForSingleObject(depthEvent, 0)==0)
// getDepthImage(depthEvent, depthStreamHandle, depthImage);
// break;
//case 2:
// //if(WaitForSingleObject(skeletonEvent, 0)==0)
// getSkeletonImage(skeletonEvent, skeletonImage);
// break;
//}
if(WaitForSingleObject(colorEvent, 0)==0)
getColorImage(colorEvent, colorStreamHandle, colorImage);
if(WaitForSingleObject(depthEvent, 0)==0)
getDepthImage(depthEvent, depthStreamHandle, depthImage);
if(WaitForSingleObject(skeletonEvent, INFINITE)==0)//这里使用INFINITE是为了避免没有激活skeletonEvent而跳过此代码出现colorimage频闪的现象
getSkeletonImage(skeletonEvent, skeletonImage, colorImage, depthImage);
for (int i=0; i<6; i++)
{
if(tracked[i] == TRUE)
{
cvZero(mask);
getTheContour(depthImage, i, mask);
tracked[i] = FALSE;
break;
}
}
cvShowImage("mask", mask);
cvShowImage("colorImage", colorImage);
cvShowImage("depthImage", depthImage);
cvShowImage("skeletonImage", skeletonImage);
if(cvWaitKey(20)==27)
{
cvReleaseImage(&colorImage);
cvReleaseImage(&depthImage);
cvReleaseImage(&skeletonImage);
break;
}
}
NuiShutdown();
return 0;
}
void getColorImage(HANDLE &colorEvent, HANDLE &colorStreamHandle, IplImage *colorImage)
{
const NUI_IMAGE_FRAME *colorFrame = NULL;
NuiImageStreamGetNextFrame(colorStreamHandle, 0, &colorFrame);
NuiImageBuffer *pTexture = colorFrame->pFrameTexture;
KINECT_LOCKED_RECT LockedRect;
pTexture->LockRect(0, &LockedRect, NULL, 0);
if( LockedRect.Pitch != 0 )
{
//cvZero(colorImage);
for (int i=0; i<480; i++)
{
uchar* ptr = (uchar*)(colorImage->imageData+i*colorImage->widthStep);
BYTE * pBuffer = (BYTE*)(LockedRect.pBits)+i*LockedRect.Pitch;//每个字节代表一个颜色信息，直接使用BYTE
for (int j=0; j<640; j++)
{
ptr[3*j] = pBuffer[4*j];//内部数据是4个字节，0-1-2是BGR，第4个现在未使用
ptr[3*j+1] = pBuffer[4*j+1];
ptr[3*j+2] = pBuffer[4*j+2];
}
}
//cvShowImage("colorImage", colorImage);//显示图像
//cvWaitKey(1);
}
else
{
cout<<"捕捉视频帧时发生错误"<<endl;
}
NuiImageStreamReleaseFrame( colorStreamHandle, colorFrame );
}
void getDepthImage(HANDLE &depthEvent, HANDLE &depthStreamHandle, IplImage *depthImage)
{
const NUI_IMAGE_FRAME *depthFrame = NULL;
NuiImageStreamGetNextFrame(depthStreamHandle, 0, &depthFrame);
NuiImageBuffer *pTexture = depthFrame->pFrameTexture;
KINECT_LOCKED_RECT LockedRect;
pTexture->LockRect(0, &LockedRect, NULL, 0);
RGBQUAD q;
//q.rgbBlue = q.rgbGreen = q.rgbRed = 0;
//cvZero(depthImage);
if( LockedRect.Pitch != 0 )
{
for (int i=0; i<240; i++)
{
uchar *ptr = (uchar*)(depthImage->imageData+i*depthImage->widthStep);
BYTE *buffer = (BYTE*)(LockedRect.pBits)+i*LockedRect.Pitch;
USHORT *bufferRun = (USHORT*)buffer;
for (int j=0; j<320; j++)
{
int player = bufferRun[j]&7;
int data = (bufferRun[j]&0xfff8) >> 3;
uchar imageData = 255-(uchar)(256*data/0x0fff);
q.rgbBlue = q.rgbGreen = q.rgbRed = 0;
switch(player)
{
case 0:
q.rgbRed = imageData / 2;
q.rgbBlue = imageData / 2;
q.rgbGreen = imageData / 2;
break;
case 1:
q.rgbRed = imageData;
break;
case 2:
q.rgbGreen = imageData;
break;
case 3:
q.rgbRed = imageData / 4;
q.rgbGreen = q.rgbRed*4; //这里利用乘的方法，而不用原来的方法可以避免不整除的情况
q.rgbBlue = q.rgbRed*4; //可以在后面的getTheContour()中配合使用，避免遗漏一些情况
break;
case 4:
q.rgbBlue = imageData / 4;
q.rgbRed = q.rgbBlue*4;
q.rgbGreen = q.rgbBlue*4;
break;
case 5:
q.rgbGreen = imageData / 4;
q.rgbRed = q.rgbGreen*4;
q.rgbBlue = q.rgbGreen*4;
break;
case 6:
q.rgbRed = imageData / 2;
q.rgbGreen = imageData / 2;
q.rgbBlue = q.rgbGreen*2;
break;
case 7:
q.rgbRed = 255 - ( imageData / 2 );
q.rgbGreen = 255 - ( imageData / 2 );
q.rgbBlue = 255 - ( imageData / 2 );
}
ptr[3*j] = q.rgbBlue;
ptr[3*j+1] = q.rgbGreen;
ptr[3*j+2] = q.rgbRed;
}
}
//cvShowImage("depthImage", depthImage);
//cvWaitKey(1);
}
else
{
cout << "捕捉深度图像出现错误" << endl;
}
NuiImageStreamReleaseFrame(depthStreamHandle, depthFrame);
}
void getSkeletonImage(HANDLE &skeletonEvent, IplImage *skeletonImage, IplImage *colorImage, IplImage *depthImage)
{
/*两者效果竟然不一样。奇怪
NUI_SKELETON_FRAME *skeletonFrame = NULL;
NUI_SKELETON_FRAME skeletonFrame;*/
NUI_SKELETON_FRAME skeletonFrame;
bool bFoundSkeleton = false;
if(NuiSkeletonGetNextFrame( 0, &skeletonFrame ) == S_OK )
{
for( int i = 0 ; i < NUI_SKELETON_COUNT ; i++ )
{
if( skeletonFrame.SkeletonData[i].eTrackingState == NUI_SKELETON_TRACKED )
{
bFoundSkeleton = true;
//cout << "ok" << endl;
break;
}
}
}
else
{
cout << "没有找到合适的骨骼帧" << endl;
return;
}
if( !bFoundSkeleton )
{
return;
}
NuiTransformSmooth(&skeletonFrame,NULL);//平滑骨骼帧,消除抖动
cvZero(skeletonImage);
for( int i = 0 ; i < NUI_SKELETON_COUNT ; i++ )
{
if( skeletonFrame.SkeletonData[i].eTrackingState == NUI_SKELETON_TRACKED &&
skeletonFrame.SkeletonData[i].eSkeletonPositionTrackingState[NUI_SKELETON_POSITION_SHOULDER_CENTER] != NUI_SKELETON_POSITION_NOT_TRACKED)
{
float fx, fy;
for (int j = 0; j < NUI_SKELETON_POSITION_COUNT; j++)//所有的坐标转化为深度图的坐标
{
NuiTransformSkeletonToDepthImageF(skeletonFrame.SkeletonData[i].SkeletonPositions[j], &fx, &fy );
skeletonPoint[i][j].x = (int)(fx*320+0.5f);
skeletonPoint[i][j].y = (int)(fy*240+0.5f);
}
for (int j=0; j<NUI_SKELETON_POSITION_COUNT ; j++)
{
if (skeletonFrame.SkeletonData[i].eSkeletonPositionTrackingState[j] != NUI_SKELETON_POSITION_NOT_TRACKED)//跟踪点一用有三种状态：1没有被跟踪到，2跟踪到，3根据跟踪到的估计到
{
LONG colorx, colory;
NuiImageGetColorPixelCoordinatesFromDepthPixel(NUI_IMAGE_RESOLUTION_640x480, 0,
skeletonPoint[i][j].x, skeletonPoint[i][j].y, 0,&colorx, &colory);
colorPoint[i][j].x = int(colorx);colorPoint[i][j].y = int(colory);//存储坐标点
cvCircle(colorImage, colorPoint[i][j], 4, cvScalar(0, 255, 255), -1, 8, 0);
//cvCircle(depthImage, skeletonPoint[i][j], 3, cvScalar(0, 255, 255), -1, 8, 0);
cvCircle(skeletonImage, skeletonPoint[i][j], 3, cvScalar(0, 255, 255), -1, 8, 0);
tracked[i] = TRUE;
}
}
drawSkeleton(colorImage, colorPoint[i], i);
//drawSkeleton(depthImage, skeletonPoint[i], i);
drawSkeleton(skeletonImage, skeletonPoint[i], i);
}
}
//cvShowImage("skeletonImage", skeletonImage);
//cvShowImage("skeletsdfonImage", colorImage);
//cvWaitKey(1);
}
void drawSkeleton(IplImage *image, CvPoint pointSet[], int witchone)
{
CvScalar color;
switch(witchone)//跟踪不同的人显示不同的颜色
{
case 0:
color = cvScalar(255);
break;
case 1:
color = cvScalar(0,255);
break;
case 2:
color = cvScalar(0, 0, 255);
break;
case 3:
color = cvScalar(255, 255, 0);
break;
case 4:
color = cvScalar(255, 0, 255);
break;
case 5:
color = cvScalar(0, 255, 255);
break;
}
if((pointSet[NUI_SKELETON_POSITION_HEAD].x!=0 || pointSet[NUI_SKELETON_POSITION_HEAD].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER].x!=0 || pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_HEAD], pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER], color, 2);
if((pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER].x!=0 || pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_SPINE].x!=0 || pointSet[NUI_SKELETON_POSITION_SPINE].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER], pointSet[NUI_SKELETON_POSITION_SPINE], color, 2);
if((pointSet[NUI_SKELETON_POSITION_SPINE].x!=0 || pointSet[NUI_SKELETON_POSITION_SPINE].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_HIP_CENTER].x!=0 || pointSet[NUI_SKELETON_POSITION_HIP_CENTER].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_SPINE], pointSet[NUI_SKELETON_POSITION_HIP_CENTER], color, 2);
//左上肢
if((pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER].x!=0 || pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_SHOULDER_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_SHOULDER_LEFT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER], pointSet[NUI_SKELETON_POSITION_SHOULDER_LEFT], color, 2);
if((pointSet[NUI_SKELETON_POSITION_SHOULDER_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_SHOULDER_LEFT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_ELBOW_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_ELBOW_LEFT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_SHOULDER_LEFT], pointSet[NUI_SKELETON_POSITION_ELBOW_LEFT], color, 2);
if((pointSet[NUI_SKELETON_POSITION_ELBOW_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_ELBOW_LEFT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_WRIST_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_WRIST_LEFT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_ELBOW_LEFT], pointSet[NUI_SKELETON_POSITION_WRIST_LEFT], color, 2);
if((pointSet[NUI_SKELETON_POSITION_WRIST_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_WRIST_LEFT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_HAND_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_HAND_LEFT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_WRIST_LEFT], pointSet[NUI_SKELETON_POSITION_HAND_LEFT], color, 2);
//右上肢
if((pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER].x!=0 || pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_SHOULDER_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_SHOULDER_RIGHT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_SHOULDER_CENTER], pointSet[NUI_SKELETON_POSITION_SHOULDER_RIGHT], color, 2);
if((pointSet[NUI_SKELETON_POSITION_SHOULDER_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_SHOULDER_RIGHT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_ELBOW_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_ELBOW_RIGHT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_SHOULDER_RIGHT], pointSet[NUI_SKELETON_POSITION_ELBOW_RIGHT], color, 2);
if((pointSet[NUI_SKELETON_POSITION_ELBOW_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_ELBOW_RIGHT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_WRIST_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_WRIST_RIGHT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_ELBOW_RIGHT], pointSet[NUI_SKELETON_POSITION_WRIST_RIGHT], color, 2);
if((pointSet[NUI_SKELETON_POSITION_WRIST_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_WRIST_RIGHT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_HAND_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_HAND_RIGHT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_WRIST_RIGHT], pointSet[NUI_SKELETON_POSITION_HAND_RIGHT], color, 2);
//左下肢
if((pointSet[NUI_SKELETON_POSITION_HIP_CENTER].x!=0 || pointSet[NUI_SKELETON_POSITION_HIP_CENTER].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_HIP_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_HIP_LEFT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_HIP_CENTER], pointSet[NUI_SKELETON_POSITION_HIP_LEFT], color, 2);
if((pointSet[NUI_SKELETON_POSITION_HIP_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_HIP_LEFT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_KNEE_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_KNEE_LEFT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_HIP_LEFT], pointSet[NUI_SKELETON_POSITION_KNEE_LEFT], color, 2);
if((pointSet[NUI_SKELETON_POSITION_KNEE_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_KNEE_LEFT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_ANKLE_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_ANKLE_LEFT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_KNEE_LEFT], pointSet[NUI_SKELETON_POSITION_ANKLE_LEFT], color, 2);
if((pointSet[NUI_SKELETON_POSITION_ANKLE_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_ANKLE_LEFT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_FOOT_LEFT].x!=0 || pointSet[NUI_SKELETON_POSITION_FOOT_LEFT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_ANKLE_LEFT], pointSet[NUI_SKELETON_POSITION_FOOT_LEFT], color, 2);
//右下肢
if((pointSet[NUI_SKELETON_POSITION_HIP_CENTER].x!=0 || pointSet[NUI_SKELETON_POSITION_HIP_CENTER].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_HIP_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_HIP_RIGHT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_HIP_CENTER], pointSet[NUI_SKELETON_POSITION_HIP_RIGHT], color, 2);
if((pointSet[NUI_SKELETON_POSITION_HIP_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_HIP_RIGHT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_KNEE_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_KNEE_RIGHT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_HIP_RIGHT], pointSet[NUI_SKELETON_POSITION_KNEE_RIGHT],color, 2);
if((pointSet[NUI_SKELETON_POSITION_KNEE_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_KNEE_RIGHT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_ANKLE_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_ANKLE_RIGHT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_KNEE_RIGHT], pointSet[NUI_SKELETON_POSITION_ANKLE_RIGHT], color, 2);
if((pointSet[NUI_SKELETON_POSITION_ANKLE_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_ANKLE_RIGHT].y!=0) &&
(pointSet[NUI_SKELETON_POSITION_FOOT_RIGHT].x!=0 || pointSet[NUI_SKELETON_POSITION_FOOT_RIGHT].y!=0))
cvLine(image, pointSet[NUI_SKELETON_POSITION_ANKLE_RIGHT], pointSet[NUI_SKELETON_POSITION_FOOT_RIGHT], color, 2);
}
void getTheContour(IplImage *image, int whichone, IplImage *mask)//根据给定的深度数据的关系（在getDepthImage()中的）确定不同的跟踪目标
{
for (int i=0; i<240; i++)
{
uchar *ptr = (uchar*)(image->imageData+i*image->widthStep);
uchar *ptrmask = (uchar*)(mask->imageData+i*mask->widthStep);
for (int j=0; j<320; j++)
{
if (ptr[3*j]==0 && ptr[3*j+1]==0 && ptr[3*j+2]==0)//都为0的时候予以忽略
{
ptrmask[3*j]=ptrmask[3*j+1]=ptrmask[3*j+2]=0;
}else if(ptr[3*j]==0 && ptr[3*j+1]==0 && ptr[3*j+2]!=0)//ID为1的时候，显示绿色
{
ptrmask[3*j] = 0;
ptrmask[3*j+1] = 255;
ptrmask[3*j+2] = 0;
}else if (ptr[3*j]==0 && ptr[3*j+1]!=0 && ptr[3*j+2]==0)//ID为2的时候，显示红色
{
ptrmask[3*j] = 0;
ptrmask[3*j+1] = 0;
ptrmask[3*j+2] = 255;
}else if (ptr[3*j]==ptr[3*j+1] && ptr[3*j]==4*ptr[3*j+2])//ID为3的时候
{
ptrmask[3*j] = 255;
ptrmask[3*j+1] = 255;
ptrmask[3*j+2] = 0;
}else if (4*ptr[3*j]==ptr[3*j+1] && ptr[3*j+1]==ptr[3*j+2])//ID为4的时候
{
ptrmask[3*j] = 255;
ptrmask[3*j+1] = 0;
ptrmask[3*j+2] = 255;
}else if (ptr[3*j]==4*ptr[3*j+1] && ptr[3*j]==ptr[3*j+2])//ID为5的时候
{
ptrmask[3*j] = 0;
ptrmask[3*j+1] = 255;
ptrmask[3*j+2] = 255;
}else if (ptr[3*j]==2*ptr[3*j+1] && ptr[3*j+1]==ptr[3*j+2])//ID为6的时候
{
ptrmask[3*j] = 255;
ptrmask[3*j+1] = 255;
ptrmask[3*j+2] = 255;
}else if (ptr[3*j]==ptr[3*j+1] && ptr[3*j]==ptr[3*j+2])//ID为7的时候或者ID为0的时候，显示蓝色
{
ptrmask[3*j] = 255;
ptrmask[3*j+1] = 0;
ptrmask[3*j+2] = 0;
}else
{
cout <<"如果输出这段代码，说明有遗漏的情况，请查询getTheContour函数" << endl;
}
}
}
}