test_funcclustering_kmeans.cpp

 
#include <cmath>
#include <Pds/Ra>
#include <Pds/Sp>
#include <Pds/Ml>
    
int main(void)
{
    std::vector<Pds::Matrix> Block;
    std::vector<Pds::Matrix> WPI;
    std::vector<Pds::Matrix> CC;
 
    Block=Pds::Matrix::ImportBmpFile("imagen1.bmp");
 
    unsigned int K=256;
    Pds::Matrix Colors;
    Pds::Array<unsigned int> MAPID;
    
    Pds::IterationConf Conf;
    Conf.SetMinError(1.0);
 
    Colors=Pds::Clustering::Kmeans(Conf,Block,K,MAPID);
    MAPID.ExportBmpFile(Pds::Array<unsigned char>(Colors),"imagen1-kmeans.bmp");
 
    WPI  =Pds::Image::WhitePatch(Block);
    CC   =Pds::Image::ChromaticityCoordinates(WPI,255);
 
    Colors=Pds::Clustering::Kmeans(Conf,CC,K/2,MAPID);
    MAPID.ExportBmpFile(Pds::Array<unsigned char>(Colors),"imagen1-cc-kmeans.bmp");
 
    if(CC.size()==3)
    Pds::Matrix::ExportBmpFile(CC[0],CC[1],CC[2],"imagen1-cc.bmp");
       
    return 0;
}