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calib3d: chess board - properly detect/handle iCntMaxima=0 case
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@ -293,7 +293,7 @@ static bool icvBinarizationHistogramBased( Mat & img )
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std::vector<int> piHistSmooth(iNumBins, 0);
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std::vector<int> piHistGrad(iNumBins, 0);
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std::vector<int> piAccumSum(iNumBins, 0);
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std::vector<int> piMaxPos(20, 0);
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std::vector<int> piMaxPos; piMaxPos.reserve(20);
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int iThresh = 0;
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int iIdx;
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int iWidth = 1;
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@ -319,7 +319,7 @@ static bool icvBinarizationHistogramBased( Mat & img )
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{
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if ( (piHistGrad[i-1] < 0) && (piHistGrad[i] > 0) )
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{
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piMaxPos[iCntMaxima] = i;
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piMaxPos.push_back(i);
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iCntMaxima++;
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}
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}
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@ -332,15 +332,35 @@ static bool icvBinarizationHistogramBased( Mat & img )
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iSumAroundMax = piHistSmooth[iIdx-1] + piHistSmooth[iIdx] + piHistSmooth[iIdx+1];
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if ( iSumAroundMax < iMaxPix1 && iIdx < 64 )
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{
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for ( int j=i; j<iCntMaxima-1; j++ )
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{
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piMaxPos[j] = piMaxPos[j+1];
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}
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piMaxPos.erase(piMaxPos.begin() + i);
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iCntMaxima--;
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i--;
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}
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}
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if ( iCntMaxima == 1)
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CV_Assert((size_t)iCntMaxima == piMaxPos.size());
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PRINTF("HIST: MAXIMA COUNT: %d (%d, %d, %d, ...)\n", iCntMaxima,
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iCntMaxima > 0 ? piMaxPos[0] : -1,
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iCntMaxima > 1 ? piMaxPos[1] : -1,
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iCntMaxima > 2 ? piMaxPos[2] : -1);
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if (iCntMaxima == 0)
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{
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// no any maxima inside (except 0 and 255 which are not handled above)
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// Does image black-write already?
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const int iMaxPix2 = iMaxPix / 2;
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for (int sum = 0, i = 0; i < 256; ++i) // select mean intensity
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{
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sum += piHistIntensity[i];
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if (sum > iMaxPix2)
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{
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iThresh = i;
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break;
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}
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}
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}
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else if (iCntMaxima == 1)
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{
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iThresh = piMaxPos[0]/2;
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}
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@ -380,7 +400,7 @@ static bool icvBinarizationHistogramBased( Mat & img )
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int iMaxVal = piHistIntensity[piMaxPos[iIdxBGMax]];
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//IF TOO CLOSE TO 255, jump to next maximum
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if ( piMaxPos[iIdxBGMax] >= 250 && iIdxBGMax < iCntMaxima )
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if ( piMaxPos[iIdxBGMax] >= 250 && iIdxBGMax + 1 < iCntMaxima )
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{
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iIdxBGMax++;
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iMaxVal = piHistIntensity[piMaxPos[iIdxBGMax]];
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