generateCentroids.hpp

Go to the documentation of this file.

 
 
#pragma once
 
#include <string>
#include <vector>
 
#include "NumCpp/Core/Internal/Error.hpp"
#include "NumCpp/Core/Internal/StaticAsserts.hpp"
#include "NumCpp/Core/Types.hpp"
#include "NumCpp/ImageProcessing/applyThreshold.hpp"
#include "NumCpp/ImageProcessing/centroidClusters.hpp"
#include "NumCpp/ImageProcessing/clusterPixels.hpp"
#include "NumCpp/ImageProcessing/generateThreshold.hpp"
#include "NumCpp/ImageProcessing/windowExceedances.hpp"
#include "NumCpp/NdArray.hpp"
 
namespace nc::imageProcessing
{
    //============================================================================
    // Method Description:
    template<typename dtype>
    std::vector<Centroid<dtype>> generateCentroids(const NdArray<dtype>& inImageArray,
                                                   double                inRate,
                                                   const std::string&    inWindowType,
                                                   uint8                 inBorderWidth = 0)
    {
        STATIC_ASSERT_ARITHMETIC(dtype);
 
        uint8 borderWidthPre  = 0;
        uint8 borderWidthPost = 0;
        if (inWindowType == "pre")
        {
            borderWidthPre = inBorderWidth;
        }
        else if (inWindowType == "post")
        {
            borderWidthPost = inBorderWidth;
        }
        else
        {
            THROW_INVALID_ARGUMENT_ERROR("input window type options are ['pre', 'post']");
        }
 
        // generate the threshold
        dtype threshold = generateThreshold(inImageArray, inRate);
 
        // apply the threshold to get xcds
        NdArray<bool> xcds = applyThreshold(inImageArray, threshold);
 
        // window around the xcds
        if (borderWidthPre > 0)
        {
            xcds = windowExceedances(xcds, borderWidthPre);
        }
 
        // cluster the exceedances
        std::vector<Cluster<dtype>> clusters = clusterPixels(inImageArray, xcds, borderWidthPost);
 
        // centroid the clusters
        return centroidClusters(clusters);
    }
} // namespace nc::imageProcessing