指定光照环境色卡颜色值提取源码

最新推荐文章于 2025-05-05 09:44:19 发布

Einstein_liu

最新推荐文章于 2025-05-05 09:44:19 发布

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分类专栏：图像处理+opencv

本文链接：https://blog.youkuaiyun.com/liu_xiao_cheng/article/details/50527689

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主要对每个色块颜色平均值提取后存储到文件，用彩色阈值分割的方法先进行逐个色块的分割，再进行平均值提取，本算法还可以优化，算法时间还可缩短。

主要代码如下：

void HuiDuTongJi(IplImage* img,int *pArray)
//图像的灰度统计
{

if(img->nChannels != 1)

    {
        cout<<"It's not a SigleChannelPic!"<<endl;
        return;
    }

//=====================循环变量====================//

int i,j;

//=====================输入图像信息====================//

int imgWidth = img->width;

int imgHeight = img->height;

int imgDepth = img->depth;

int imgChannels = img->nChannels;

int imgSize = img->imageSize;

int imgStep = img->widthStep/sizeof(uchar);

uchar* imgData = (uchar *)img->imageData;

int imgLen = imgWidth*imgHeight; //

//统计灰度级

    for(i = 0 ; i< imgHeight ; i++)
    {
        for(j = 0; j< imgWidth ; j++)
        {

pArray[imgData[i*imgStep+j*imgChannels]]++;

}

void HistThreshold(IplImage* img, double m_lowerLimit, double m_upperLimit)
//灰度直方图阈值分割
{

//=====================循环变量====================//

int i,j,k;

//=====================输入图像信息====================//

int imgWidth = img->width;

int imgHeight = img->height;

int imgDepth = img->depth;

int imgChannels = img->nChannels;

int imgSize = img->imageSize;

int imgStep = img->widthStep/sizeof(uchar);

uchar* imgData = (uchar *)img->imageData;

int imgLen = imgWidth*imgHeight;

IplImage* dst = cvCreateImage(cvGetSize(img),img->depth,img->nChannels);

for(i = 0 ;i < imgHeight; i++)
{

for(j =0 ; j <imgWidth ; j++)
{

            for(k = 0; k<imgChannels;k++)
            {
                //当灰度值不在范围之内时灰度值付为0,否则为255

if( imgData[i*imgStep+j*imgChannels+k] <m_lowerLimit || imgData[i*imgStep+j*imgChannels+k] > m_upperLimit)
{

(((uchar *)(dst->imageData))[i*imgStep+j*imgChannels+k]) = 255;

                }
                else
                {

(((uchar *)(dst->imageData))[i*imgStep+j*imgChannels+k]) = 0;

}

}
cvCopy(dst,img,0);
cvReleaseImage(&dst);

}

/*直方图方法分割彩色图像 */
void HistSegment(IplImage* img,double lowerLimit, double upperLimit)
{

    if(img->nChannels != 1)
    {
        cout<<"It's not a SigleChannelPic!"<<endl;
        return;
    }

//=====================输入图像信息====================//

int imgWidth = img->width;

int imgHeight = img->height;

int imgDepth = img->depth;

int imgChannels = img->nChannels;

int imgSize = img->imageSize;

int imgStep = img->widthStep/sizeof(uchar);

uchar* imgData = (uchar *)img->imageData;

int imgLen = imgWidth*imgHeight;

//保存像素范围
double m_lowerLimit,m_upperLimit;

//指向灰度级的数据指针

int *pArray;

//分配内存

pArray = new int[256];

//初始化内存
for(int i =0 ;i <256 ;i++)

{
pArray[i] = 0;

}

//总的象素个数
int Total;

Total = imgWidth * imgHeight ;

//调用函数获得每一级灰度级的值

// HuiDuTongJi(img,pArray);

m_lowerLimit = lowerLimit;

m_upperLimit = upperLimit;

//阈值分割
HistThreshold(img,m_lowerLimit,m_upperLimit);

delete []pArray;

}

int picSegProcess::seKaSegment(IplImage *pSrcImage,CvScalar lowerLimit, CvScalar upperLimit, CvScalar *resultColor,CvRect *rectParam)
{
// 定义工作位图

IplImage* src=pSrcImage;

IplImage* imgR = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);
IplImage* imgG = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);
IplImage* imgB = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);
IplImage* imgResult = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);

// 源图像信息

int width = src->width;

int height = src->height;

int channel = src->nChannels;

    int i,j;
    double R,G,B;//,H,S,V;
int sumR=0,sumG=0,sumB=0;
int RGBnum=0;

    for(j=0;j<height;j++)
    {
        for(i=0;i<width;i++)
        {
            B = ((uchar*)(src->imageData + j*src->widthStep))[i*channel];

G = ((uchar*)(src->imageData + j*src->widthStep))[i*channel+1];

R = ((uchar*)(src->imageData + j*src->widthStep))[i*channel+2];

((uchar*)(imgR->imageData + j*imgR->widthStep))[i*imgR->nChannels] = (uchar)R;

((uchar*)(imgG->imageData + j*imgG->widthStep))[i*imgG->nChannels] = (uchar)G;

((uchar*)(imgB->imageData + j*imgB->widthStep))[i*imgB->nChannels] = (uchar)B;

}

static void testSekaSeg()
{
IplImage *pRoiImage =NULL;
IplImage *tempResult =NULL;
char pic_path[MAX_PATH]={0};
char tempS[MAX_PATH]={0};
char buf[256]={0};
picSegProcess mytest;

GetCurrentDirectory(MAX_PATH,pic_path);
sprintf(tempS, "%s%s", pic_path,"\\pic\\mytest1.jpg");
pRoiImage = cvLoadImage(tempS, CV_LOAD_IMAGE_UNCHANGED);

int rectW = 6;//横向色块数
int rectH = 4;//纵向色块数
int segParam=5;//RGB颜色判断范围
int tempHeigh=pRoiImage->height/rectH;
int tempWidth=pRoiImage->width/rectW;
int HRemainder=pRoiImage->height%rectH;
int WRemainder=pRoiImage->width%rectW;
int h=0;
int w=0;
int tempNum=0;
CvScalar tempColor;
CvScalar avrColor;
CvRect rectParam;
FILE* tempFd=NULL;
IplImage *tempDest= cvCreateImage(cvGetSize(pRoiImage), pRoiImage->depth, pRoiImage->nChannels);
sprintf(tempS, "%s%s", pic_path,"\\avrResult.txt");

for (h=0;h<pRoiImage->height-HRemainder;h+=tempHeigh)
{
  for (w=0;w<pRoiImage->width-WRemainder;w+=tempWidth)
  {
   /*CvPoint pt1;
   pt1.x=w;
   pt1.y=h;
   CvPoint pt2;
   pt2.x=w+tempWidth;
   pt2.y=h+tempHeigh;
   cvRectangle(pRoiImage,pt1,pt2,Scalar(0,255,0));*/
   cvCopy(pRoiImage,tempDest,0);

   tempColor.val[0] = ((uchar*)(tempDest->imageData + (h+tempHeigh/2)*tempDest->widthStep))[(w+tempWidth/2)*tempDest->nChannels];
            tempColor.val[1] = ((uchar*)(tempDest->imageData + (h+tempHeigh/2)*tempDest->widthStep))[(w+tempWidth/2)*tempDest->nChannels+1];
            tempColor.val[2] = ((uchar*)(tempDest->imageData + (h+tempHeigh/2)*tempDest->widthStep))[(w+tempWidth/2)*tempDest->nChannels+2];

   CvScalar LColor = cvScalar(tempColor.val[0]-segParam,tempColor.val[1]-segParam,tempColor.val[2]-segParam);
   CvScalar UpColor = cvScalar(tempColor.val[0]+segParam,tempColor.val[1]+segParam,tempColor.val[2]+segParam);
   rectParam.x=w;
   rectParam.y=h;
   rectParam.height=tempHeigh;
   rectParam.width=tempWidth;
   mytest.seKaSegment(tempDest,LColor,UpColor,&avrColor,&rectParam);
   tempNum++;
   if((tempFd = fopen(tempS,"a+"))==NULL){
    if(NULL != tempS)
     printf("can not open file %s\n",tempS);
    else
     printf("can not open file,file path is NULL\n");
    return;
   }
   sprintf(buf,"%d,B:%f,G:%f,R:%f\n",tempNum, avrColor.val[0],avrColor.val[1],avrColor.val[2]);
   fwrite(buf,strlen(buf)+1,1,tempFd);
   fclose(tempFd);
  }
}