Shock capturing, level sets, and PDE based methods in computer vision and image processing: a review of Osher's contributions

被引:54
|
作者
Fedkiw, RP
Sapiro, G
Shu, CW
机构
[1] Brown Univ, Div Appl Math, Providence, RI 02912 USA
[2] Stanford Univ, Dept Comp Sci, Stanford, CA 94305 USA
[3] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
关键词
shock capturing method; level set method; computer vision; image processing;
D O I
10.1016/S0021-9991(02)00016-5
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper we review the algorithm development and applications in high resolution shock capturing methods, level set methods, and PDE based methods in computer vision and image processing. The emphasis is on Stanley Osher's contribution in these areas and the impact of his work. We will start with shock capturing methods and will review the Engquist-Osher scheme, TVD schemes, entropy conditions, ENO and WENO schemes, and numerical schemes for Hamilton-Jacobi type equations. Among level set methods we will review level set calculus, numerical techniques, fluids and materials, variational approach, high codimension motion, geometric optics, and the computation of discontinuous solutions to Hamilton-Jacobi equations. Among computer vision and image processing we will review the total variation model for image denoising, images on implicit surfaces, and the level set method in image processing and computer vision. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:309 / 341
页数:33
相关论文
共 1 条
  • [1] Review on Image Processing Based Adversarial Example Defenses in Computer Vision
    Qiu, Meikang
    Qiu, Han
    2020 IEEE 6TH INT CONFERENCE ON BIG DATA SECURITY ON CLOUD (BIGDATASECURITY) / 6TH IEEE INT CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING, (HPSC) / 5TH IEEE INT CONFERENCE ON INTELLIGENT DATA AND SECURITY (IDS), 2020, : 94 - 99