void DistanceTransform::process()
{
//get the input image
CvMatData img = m_inputPin->get();
// open input images for reading
const cv::Mat& src = img;
if(img.channels() != 1)
qDebug() << "Wrong number of channels";
if(img.depth() != CV_8U && img.depth() != CV_8S)
qDebug() << "Wrong depth in the image";
//get a destination image with the distance values.
CvMatData out = CvMatData::create( img.width(), img.height(), CV_32FC1 );
// open output image for writing
cv::Mat& dst = out;
//DistanceTransform both images
try{
cv::distanceTransform(src, dst, m_distanceType.getSelectedValue(), m_maskSize.getSelectedValue());
}
catch(std::exception &e){
//Don't know why but this try/catch block prevents exception troubles.
qDebug() << "exception: " << e.what();
throw;
}
// publish the new image
m_outputPin->put( out );
}
bool Gray2RGB::process()
{
assert(m_inputPin != 0);
assert(m_outputPin != 0);
CvMatData src = m_inputPin->get();
// allocate a target buffer
CvMatData target;
target.create( src.width(), src.height(), src.type() );
// do a flip of the image
const cv::Mat in = src;
cv::Mat out = target;
cv::flip( in, out, 1);
// publish the new image
m_outputPin->put( out );
// CvMatData in = m_inputPin->get();
//const cv::Mat& inputImage = in;
//m_outputPin->put( inputImage );
return true;
}
bool ImageThreshold::process()
{
CvMatData in = m_inputPin->get();
CvMatData out = CvMatData::create( in.width(), in.height(), in.type() );
const cv::Mat& src = in;
cv::Mat& dst = out;
// perform threshold operation on the image
cv::threshold( src, dst, m_threshold, m_maxValue, m_method.getSelectedValue() );
// publish the new image
m_outputPin->put( out );
return true;
}
void ImageCornerHarris::process()
{
assert(m_inputPin != 0);
assert(m_outputPin != 0);
// get the src image
CvMatData in = m_inputPin->get();
// make a target image
// cv::CornerHarris expects a 32F dst image
CvMatDataProperties props( in.width(), in.height(), CV_32FC1 );
CvMatData out = CvMatData::create( props );
const cv::Mat& src = in;
cv::Mat& dst = out;
// do a canny edge detection operator of the image
cv::cornerHarris( src, dst, m_blockSize, m_kernelSize,
m_k, m_borderType.getSelectedValue() );
// publish the new image
m_outputPin->put( out );
}
