Cell Image Decomposition Based on G-Space and PDE

Author

Li, Yanxia ; Ji, Guangrong ; Zheng, Haiyong ; Cao, Hui

Author_Institution

Dept. of Electron. Eng., Ocean Univ. of China, Qingdao

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

410

Lastpage

413

Abstract

Base on G-Space and partial differential equation, a novel method is proposed for cell image decomposition in this paper. The Vese-Osher (VO) model and Mumford-Shah-G(MSG) model based on G-Space and PDE are introduced for real texture image extraction. An image f can be decomposed into a cartoon part u and a noise/texture part v in both two models. The experimental results show the contrast effects in these two models for cell image decomposition. As the basis research for cell image recognition, this image decomposition approach is proved available and effective by the experimental results.

Keywords

feature extraction; image texture; partial differential equations; Mumford-Shah-G model; Vese-Osher model; cell image decomposition; partial differential equation; real texture image extraction; Discrete wavelet transforms; Educational institutions; Image coding; Image decomposition; Image processing; Image recognition; Image restoration; Oceans; Partial differential equations; TV; Cell Image Decomposition; Cell Image Recognition; G-Space; MSG model; Partial Differential Equation; VO model;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3530-2

Electronic_ISBN

978-1-4244-3531-9

Type

conf

DOI

10.1109/KAMW.2008.4810511

Filename

4810511