A differential geometry approach for biomedical image processing

被引：9

作者：

Demongeot, J ^{[1
]}

Françoise, JF

Richard, M

Senegas, F

Baum, TP

机构：

[1] Univ Grenoble 1, Fac Med, UMR CNRS 5525, Lab TIMC IMAG, F-38700 La Tronche, France

[2] Univ Paris 06, Lab Geometrie Differentielle Syst Differentiels I, F-75252 Paris 05, France

来源：

COMPTES RENDUS BIOLOGIES | 2002年 / 325卷 / 04期

关键词：

bio-arrays; segmentation; Gauss curvature; peak detection;

D O I：

10.1016/S1631-0691(02)01459-2

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We show in this paper how simple considerations about bio-arrays images lead to a peak segmentation allowing the genes activity analysis. Bio-arrays images have a particular structure and the aim of the paper is to present a mathematical method allowing their automatic processing. The differential geometry approach used here can be also employed for other types of images presenting grey level peaks corresponding to a functional activity or to a chemical concentration. The mathematical method is based on elementary techniques of differential geometry and dynamical systems theory and provides a simple efficient algorithm when the peaks to segment are isolated. (C) 2002 Academie des sciences/Editions scientifiques et medicales Elsevier SAS.

引用

页码：367 / 374

页数：8