在C++中用ITK计算主成分分析

#include <iostream>
#include "itkPCAShapeModelEstimator.h"

int main()
{
    using PixelType = double;
    constexpr unsigned int Dimension = 2;

    using ImageType = itk::Image<PixelType, Dimension>;

    using PCAType = itk::PCAShapeModelEstimator<ImageType>;
    PCAType::Pointer pca = PCAType::New();

    // 读取输入图像
    ImageType::Pointer inputImage = ...;

    // 设置输入图像
    pca->SetInputImage(inputImage);

    // 执行主成分分析
    pca->Update();

    // 获取结果
    PCAType::MatrixType eigenVectors = pca->GetEigenvectors();
    PCAType::VectorType eigenValues = pca->GetEigenvalues();

    // 输出结果
    std::cout << "Eigenvalues: " << eigenValues << std::endl;
    std::cout << "Eigenvectors: " << eigenVectors << std::endl;

    return 0;
}