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add HAL for adaptiveThreshold

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elenagvo
2017-11-23 11:40:54 +03:00
parent c4b158ff91
commit 11ddb9332c
4 changed files with 32 additions and 8 deletions
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modules/imgproc/src/hal_replacement.hpp
+17
View File
@@ -630,6 +630,23 @@ inline int hal_ni_medianBlur(const uchar* src_data, size_t src_step, uchar* dst_
#define cv_hal_medianBlur hal_ni_medianBlur
//! @endcond
/**
@brief Calculates adaptive threshold
@param src_data,src_step Source image
@param dst_data,dst_step Destination image
@param width,height Source image dimensions
@param maxValue Value assigned to the pixels for which the condition is satisfied
@param adaptiveMethod Adaptive thresholding algorithm
@param thresholdType Thresholding type
@param blockSize Size of a pixel neighborhood that is used to calculate a threshold value
@param C Constant subtracted from the mean or weighted mean
*/
inline int hal_ni_adaptiveThreshold(const uchar* src_data, size_t src_step, uchar* dst_data, size_t dst_step, int width, int height, double maxValue, int adaptiveMethod, int thresholdType, int blockSize, double C) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @cond IGNORED
#define cv_hal_adaptiveThreshold hal_ni_adaptiveThreshold
//! @endcond
//! @}
#if defined __GNUC__
modules/imgproc/src/thresh.cpp
+4 -1
View File
@@ -1530,6 +1530,9 @@ void cv::adaptiveThreshold( InputArray _src, OutputArray _dst, double maxValue,
return;
}
CALL_HAL(adaptiveThreshold, cv_hal_adaptiveThreshold, src.data, src.step, dst.data, dst.step, src.cols, src.rows,
maxValue, method, type, blockSize, delta);
Mat mean;
if( src.data != dst.data )
@@ -1537,7 +1540,7 @@ void cv::adaptiveThreshold( InputArray _src, OutputArray _dst, double maxValue,
if (method == ADAPTIVE_THRESH_MEAN_C)
boxFilter( src, mean, src.type(), Size(blockSize, blockSize),
Point(-1,-1), true, BORDER_REPLICATE );
Point(-1,-1), true, BORDER_REPLICATE|BORDER_ISOLATED );
else if (method == ADAPTIVE_THRESH_GAUSSIAN_C)
{
Mat srcfloat,meanfloat;