retina included in namespace bioinspired + followed suggestions made by Vadim

This commit is contained in:
alexandre benoit
2013-07-14 19:28:37 +02:00
parent 188f889949
commit 7fe78efda3
26 changed files with 229 additions and 129 deletions

View File

@@ -7,7 +7,7 @@
** copy or use the software.
**
**
** HVStools : interfaces allowing OpenCV users to integrate Human Vision System models. Presented models originate from Jeanny Herault's original research and have been reused and adapted by the author&collaborators for computed vision applications since his thesis with Alice Caplier at Gipsa-Lab.
** bioinspired : interfaces allowing OpenCV users to integrate Human Vision System models. Presented models originate from Jeanny Herault's original research and have been reused and adapted by the author&collaborators for computed vision applications since his thesis with Alice Caplier at Gipsa-Lab.
**
** Maintainers : Listic lab (code author current affiliation & applications) and Gipsa Lab (original research origins & applications)
**
@@ -31,7 +31,7 @@
** Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
** Copyright (C) 2008-2011, Willow Garage Inc., all rights reserved.
**
** For Human Visual System tools (hvstools)
** For Human Visual System tools (bioinspired)
** Copyright (C) 2007-2011, LISTIC Lab, Annecy le Vieux and GIPSA Lab, Grenoble, France, all rights reserved.
**
** Third party copyrights are property of their respective owners.
@@ -77,7 +77,7 @@
namespace cv
{
namespace hvstools
namespace bioinspired
{
/**
* @class RetinaFastToneMappingImpl a wrapper class which allows the tone mapping algorithm of Meylan&al(2007) to be used with OpenCV.
@@ -176,6 +176,100 @@ private:
std::valarray<float> _temp2;
float _meanLuminanceModulatorK;
void _convertValarrayBuffer2cvMat(const std::valarray<float> &grayMatrixToConvert, const unsigned int nbRows, const unsigned int nbColumns, const bool colorMode, OutputArray outBuffer)
{
// fill output buffer with the valarray buffer
const float *valarrayPTR=get_data(grayMatrixToConvert);
if (!colorMode)
{
outBuffer.create(cv::Size(nbColumns, nbRows), CV_8U);
Mat outMat = outBuffer.getMat();
for (unsigned int i=0;i<nbRows;++i)
{
for (unsigned int j=0;j<nbColumns;++j)
{
cv::Point2d pixel(j,i);
outMat.at<unsigned char>(pixel)=(unsigned char)*(valarrayPTR++);
}
}
}else
{
const unsigned int nbPixels=nbColumns*nbRows;
const unsigned int doubleNBpixels=nbColumns*nbRows*2;
outBuffer.create(cv::Size(nbColumns, nbRows), CV_8UC3);
Mat outMat = outBuffer.getMat();
for (unsigned int i=0;i<nbRows;++i)
{
for (unsigned int j=0;j<nbColumns;++j,++valarrayPTR)
{
cv::Point2d pixel(j,i);
cv::Vec3b pixelValues;
pixelValues[2]=(unsigned char)*(valarrayPTR);
pixelValues[1]=(unsigned char)*(valarrayPTR+nbPixels);
pixelValues[0]=(unsigned char)*(valarrayPTR+doubleNBpixels);
outMat.at<cv::Vec3b>(pixel)=pixelValues;
}
}
}
}
bool _convertCvMat2ValarrayBuffer(InputArray inputMat, std::valarray<float> &outputValarrayMatrix)
{
const Mat inputMatToConvert=inputMat.getMat();
// first check input consistency
if (inputMatToConvert.empty())
throw cv::Exception(-1, "RetinaImpl cannot be applied, input buffer is empty", "RetinaImpl::run", "RetinaImpl.h", 0);
// retreive color mode from image input
int imageNumberOfChannels = inputMatToConvert.channels();
// convert to float AND fill the valarray buffer
typedef float T; // define here the target pixel format, here, float
const int dsttype = DataType<T>::depth; // output buffer is float format
const unsigned int nbPixels=inputMat.getMat().rows*inputMat.getMat().cols;
const unsigned int doubleNBpixels=inputMat.getMat().rows*inputMat.getMat().cols*2;
if(imageNumberOfChannels==4)
{
// create a cv::Mat table (for RGBA planes)
cv::Mat planes[4] =
{
cv::Mat(inputMatToConvert.size(), dsttype, &outputValarrayMatrix[doubleNBpixels]),
cv::Mat(inputMatToConvert.size(), dsttype, &outputValarrayMatrix[nbPixels]),
cv::Mat(inputMatToConvert.size(), dsttype, &outputValarrayMatrix[0])
};
planes[3] = cv::Mat(inputMatToConvert.size(), dsttype); // last channel (alpha) does not point on the valarray (not usefull in our case)
// split color cv::Mat in 4 planes... it fills valarray directely
cv::split(Mat_<Vec<T, 4> >(inputMatToConvert), planes);
}
else if (imageNumberOfChannels==3)
{
// create a cv::Mat table (for RGB planes)
cv::Mat planes[] =
{
cv::Mat(inputMatToConvert.size(), dsttype, &outputValarrayMatrix[doubleNBpixels]),
cv::Mat(inputMatToConvert.size(), dsttype, &outputValarrayMatrix[nbPixels]),
cv::Mat(inputMatToConvert.size(), dsttype, &outputValarrayMatrix[0])
};
// split color cv::Mat in 3 planes... it fills valarray directely
cv::split(cv::Mat_<Vec<T, 3> >(inputMatToConvert), planes);
}
else if(imageNumberOfChannels==1)
{
// create a cv::Mat header for the valarray
cv::Mat dst(inputMatToConvert.size(), dsttype, &outputValarrayMatrix[0]);
inputMatToConvert.convertTo(dst, dsttype);
}
else
CV_Error(Error::StsUnsupportedFormat, "input image must be single channel (gray levels), bgr format (color) or bgra (color with transparency which won't be considered");
return imageNumberOfChannels>1; // return bool : false for gray level image processing, true for color mode
}
// run the initilized retina filter in order to perform gray image tone mapping, after this call all retina outputs are updated
void _runGrayToneMapping(const std::valarray<float> &grayImageInput, std::valarray<float> &grayImageOutput)
{
@@ -218,5 +312,5 @@ CV_EXPORTS Ptr<RetinaFastToneMapping> createRetinaFastToneMapping(Size inputSize
return new RetinaFastToneMappingImpl(inputSize);
}
}// end of namespace hvstools
}// end of namespace bioinspired
}// end of namespace cv