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A new constant in adaptivethreshold is created to calculate

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gaussianBlur with CV_32F. hence rouding error are avoided
This commit is contained in:
LaurentBerger
2015-06-22 22:21:30 +02:00
parent 945aa06f58
commit 56b2b450ce
2 changed files with 14 additions and 4 deletions
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4
modules/imgproc/include/opencv2/imgproc.hpp
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@@ -326,7 +326,9 @@ enum AdaptiveThresholdTypes {
window) of the \f$\texttt{blockSize} \times \texttt{blockSize}\f$ neighborhood of \f$(x, y)\f$ window) of the \f$\texttt{blockSize} \times \texttt{blockSize}\f$ neighborhood of \f$(x, y)\f$
minus C . The default sigma (standard deviation) is used for the specified blockSize . See minus C . The default sigma (standard deviation) is used for the specified blockSize . See
cv::getGaussianKernel*/ cv::getGaussianKernel*/
ADAPTIVE_THRESH_GAUSSIAN_C = 1 ADAPTIVE_THRESH_GAUSSIAN_C = 1,
/** Like ADAPTIVE_THRESH_GAUSSIAN_C except that GaussianBlur use CV_32F for blurring to avoid rounding error*/
ADAPTIVE_THRESH_GAUSSIAN_C_FLOAT = 2
}; };
//! cv::undistort mode //! cv::undistort mode

14
modules/imgproc/src/thresh.cpp
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@@ -1295,11 +1295,19 @@ void cv::adaptiveThreshold( InputArray _src, OutputArray _dst, double maxValue,
if( src.data != dst.data ) if( src.data != dst.data )
mean = dst; mean = dst;
if( method == ADAPTIVE_THRESH_MEAN_C ) if (method == ADAPTIVE_THRESH_MEAN_C)
boxFilter( src, mean, src.type(), Size(blockSize, blockSize), boxFilter( src, mean, src.type(), Size(blockSize, blockSize),
Point(-1,-1), true, BORDER_REPLICATE ); Point(-1,-1), true, BORDER_REPLICATE );
else if( method == ADAPTIVE_THRESH_GAUSSIAN_C ) else if (method == ADAPTIVE_THRESH_GAUSSIAN_C)
GaussianBlur( src, mean, Size(blockSize, blockSize), 0, 0, BORDER_REPLICATE ); GaussianBlur(src, mean, Size(blockSize, blockSize), 0, 0, BORDER_REPLICATE);
else if (method == ADAPTIVE_THRESH_GAUSSIAN_C_FLOAT)
{
Mat srcfloat,meanfloat;
src.convertTo(srcfloat,CV_32F);
meanfloat=srcfloat;
GaussianBlur(srcfloat, meanfloat, Size(blockSize, blockSize), 0, 0, BORDER_REPLICATE);
meanfloat.convertTo(dst, src.type());
}
else else
CV_Error( CV_StsBadFlag, "Unknown/unsupported adaptive threshold method" ); CV_Error( CV_StsBadFlag, "Unknown/unsupported adaptive threshold method" );