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【C】 Google图像对比基本算法的简单实现

作者:二糊 / 发布于2014/1/28/ 611

Google图像对比基本算法的简单实现

#include <cv.h>
#include <highgui.h>
#include <stdlib.h>

//计算图像感知hash值。详情看：http://blog.csdn.net/lhfslhfs/article/details/9157845
int64 CalcImagePerceptualHashKey(const IplImage* pImage)
{
  IplImage* pTheImage8X8 = cvCreateImage(cvSize(8, 8), pImage->depth, pImage->nChannels);
  IplImage* pGrayscaleImage = cvCreateImage(cvSize(8, 8), 8, 1);

  cvResize(pImage, pTheImage8X8, CV_INTER_AREA);
  cvConvertImage(pTheImage8X8, pGrayscaleImage);
  cvReleaseImage(&pTheImage8X8);

  //计算平均值
  float fElementMean = 0;
  for (int y = 0; y < 8; ++y)
  {
    for (int x = 0; x < 8; ++x)
    {
      unsigned char& cElem = *(unsigned char*)(pGrayscaleImage->imageData + x + y * pGrayscaleImage->widthStep);
      cElem = (unsigned char)(cElem / (float)255 * 64);
      fElementMean += cElem;
    }
  }

  fElementMean /= 64;
  unsigned char cElementKey = 0;
  int64 key = 0;
  unsigned char* pKeyPtr = (unsigned char*)&key;

  for (int y = 0; y < 8; ++y)
  {
    for (int x = 0; x < 8; ++x)
    {
      if (fElementMean > *(unsigned char*)(pGrayscaleImage->imageData + x + y * pGrayscaleImage->widthStep))
      {
        //小于平均值即为0。
        cElementKey <<= 1;
      }
      else
      {
        //否则即为1
        cElementKey <<= 1;
        cElementKey |= 1;
      }
    }

    pKeyPtr[y] = cElementKey;
  }

  cvReleaseImage(&pGrayscaleImage);
  return key;
}

//比较2个key的相似度，结果以1为最相似，0为不相似。
float CompareImageKeySimilarity(int64 key1, int64 key2)
{
  int64 keyResult = key1 ^ key2;
  int nOneCount = 0;
  int i = 64;
  while(i--)
  {
    if ((keyResult & 1) == 1)
      nOneCount++;

    keyResult >>= 1;
  }

  printf("nOneCount = %dn", nOneCount);
  return nOneCount == 0 ? 1 : (64 - nOneCount) / (float)64;
}

int main(int argc, char* argv[])
{
  IplImage* pSrc1 = cvLoadImage("D:\cvImg\gujinlin1.jpg");
  IplImage* pSrc2 = cvLoadImage("D:\cvImg\gujinlin2.jpg");
  int64 key1 = CalcImagePerceptualHashKey(pSrc1);
  int64 key2 = CalcImagePerceptualHashKey(pSrc2);

  printf("key1 = 0x%llX, key2 = 0x%llX, Similarity = %.2fn", key1, key2, CompareImageKeySimilarity(key1, key2));
  return 0;
}

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