ITK Second Order Derivative for Image Processing

Second Order Derivative 學生：謝宗佑指導教授：張顧耀教授日期：2007/06/05

Outline • Introduction • Using ITK’s Second Order Filter • Experiment Results • Demo

Introduction • What is the second order derivative? • Give the gradient magnitude. • Purpose in image processing: • Detect edge • Edge enhancement • e.g. • Laplacian filter

Introduction

Introduction • Mask:

Introduction • Noise problem: • How to solve: • Smooth the image first • Erosive noise

Using ITK’s Second Order Filter • Description: • This filter is implemented using the recursive Gaussian filters. • Header: • #include “itkLaplacianRecursiveGaussianImageFilter.h” • Function: • SetSigma(RealType sigma)

Using ITK’s Second Order Filter • Flowchart:

Experiment Results σ=1 σ=3 σ=5 σ=1 σ=3 σ=5

Demo • Flowchart: Read image flowchart Filter flowchart

ITK Second Order Derivative for Image Processing