[專題演講]【5月20日】國立中央大學數學系 楊肅煜教授

Speaker: 楊肅煜教授 (國立中央大學數學系)

Title: A Mini-Course on Mathematical Image Processing

Abstract:
Lecture 1: Rudin-Osher-Fatemi total variation model for image denoising

In this lecture, we will give a brief introduction to the following topics:
(1) The ROF total-variation model for image denoising;
(2) Calculus of variations and the Euler-Lagrange equation;
(3) A finite difference scheme for solving the ROF model;
(4) The split Bregman iterative scheme for solving the ROF model.

Lecture 2: A level set approach to the Chan-Vese model for image segmentation

In this lecture, we will give a brief introduction to the following topics:
(1) The Mumford-Shah model and the Chan-Vese model;
(2) Level set formulation of the two-phase Chan-Vese model;
(3) A finite difference scheme for solving the two-phase Chan-Vese model;
(4) The iterative convolution-thresholding scheme.

Date: Friday, May 20, 2022

Time: 13:20-16:20

Venue: 線上

https://meet.google.com/ceg-xhxi-mde[1]