void _repeat(Surface& source, Surface& dest, int scaleFactor)
{
Surface::ConstIter srcIt = source.getIter();
Surface::Iter destIt = dest.getIter();
while (srcIt.line())
{
// back to the start of source line
Surface::ConstIter copy = srcIt;
for (int i = 0; i < scaleFactor; i++)
{
destIt.line();
while (srcIt.pixel())
{
for (int j = 0; j < scaleFactor; j++)
{
destIt.pixel();
destIt.r() = srcIt.r();
destIt.g() = srcIt.g();
destIt.b() = srcIt.b();
}
}
// reset srcIt
srcIt = copy;
}
}
}
void ocvColorQuantizeApp::updateImage()
{
const int colorCount = 32;
const int sampleCount = mInputImage.getHeight() * mInputImage.getWidth();
cv::Mat colorSamples( sampleCount, 1, CV_32FC3 );
// build our matrix of samples
Surface::ConstIter imageIt = mInputImage.getIter();
cv::MatIterator_<cv::Vec3f> sampleIt = colorSamples.begin<cv::Vec3f>();
while( imageIt.line() )
while( imageIt.pixel() )
*sampleIt++ = cv::Vec3f( imageIt.r(), imageIt.g(), imageIt.b() );
// call kmeans
cv::Mat labels, clusters;
cv::kmeans( colorSamples, colorCount, labels, cv::TermCriteria( cv::TermCriteria::COUNT, 8, 0 ), 2, cv::KMEANS_RANDOM_CENTERS, &clusters );
Color8u clusterColors[colorCount];
for( int i = 0; i < colorCount; ++i )
clusterColors[i] = Color8u( clusters.at<cv::Vec3f>(i,0)[0], clusters.at<cv::Vec3f>(i,0)[1], clusters.at<cv::Vec3f>(i,0)[2] );
Surface result( mInputImage.getWidth(), mInputImage.getHeight(), false );
Surface::Iter resultIt = result.getIter();
cv::MatIterator_<int> labelIt = labels.begin<int>();
while( resultIt.line() ) {
while( resultIt.pixel() ) {
resultIt.r() = clusterColors[*labelIt].r;
resultIt.g() = clusterColors[*labelIt].g;
resultIt.b() = clusterColors[*labelIt].b;
++labelIt;
}
}
// draw the color palette across the bottom of the image
const int swatchSize = 12;
for( int i = 0; i < colorCount; ++i ) {
ip::fill( &result, clusterColors[i], Area( i * swatchSize, result.getHeight() - swatchSize, ( i + 1 ) * swatchSize, result.getHeight() ) );
}
mTexture = gl::Texture( result );
}
