Multi-Scale Hessian-Based Measure參數設定 Wei –Lu Lin
Outline MultiScaleHessianBasedMeasureImageFilter HessianToObjectnessMeasureImageFilter Example( Vessels case :IM065.dcm)
Itk:: MultiScaleHessianBasedMeasureImageFilter A filter to enhance structures using Hessian eigensystem-based measures in a multiscale framework SetSigmaMinimum Set/Get macros for SigmaMin SetSigmaMaximum Set/Get macros for SigmaMax SetNumberOfSigmaSteps Set/Get macros for Number of Scales
Itk::HessianToObjectnessMeasureImageFilter A filter to enhance M-dimensional objects in N-dimensional images SetAlpha SetBeta SetGamma
Itk::HessianToObjectnessMeasureImageFilter SetAlpha Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality
Itk::HessianToObjectnessMeasureImageFilter SetBeta Set/Get Beta, the weight corresponding to R_B (the ratio of the largest eigenvalue that has to be small to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality
Itk::HessianToObjectnessMeasureImageFilter SetGamma Set/Get Gamma, the weight corresponding to S (the Frobenius norm of the Hessian matrix, or second-order structureness)
Example sigmaMinimum = 2.0 sigmaMaximum = 3.0 numberOfSigmaSteps = 1 Alpha = 0.5 Beta = 0.5 Gamma = 5.0 Vessel case :IM065.dcm
Example Tune the sigmaMinimum and sigmaMaximum sigmaMinimum = 2.0
Example Tune the numberOfSigmaSteps numberOfSigmaSteps = 1
Example Tune the Alpha Alpha = 0.5 Alpha = 10.0
Example Tune the Beta Beta = 0.5 Beta = 10.0
Example Tune the Gamma Gamma = 5.0 Gamma = 2.0