首页 | 本学科首页   官方微博 | 高级检索  
     


A differential geometry approach for biomedical image processing
Authors:Demongeot Jacques  Françoise Jean-Pierre  Richard Mathieu  Senegas Franck  Baum Thierry-Pascal
Affiliation:Laboratoire TIMC-IMAG, UMR CNRS 5525, faculté de médecine, université Joseph-Fourier de Grenoble, 38700 La Tronche, France. Jacques.Demongeot@imag.fr
Abstract: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.
Keywords:bio-arrays  segmentation  Gauss curvature  peak detection  bio-puces  segmentation  courbure moyenne de Gauss  détection de pics
本文献已被 ScienceDirect PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号