Fast marching the global minimum of active contours

Author

Cohen, Laurent D. ; Kimmel, Ron

Author_Institution

CEREMADE, CNRS, Paris, France

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

473

Abstract

A new approach of edge integration for shape modeling is presented. It is used to find the global minimum of an active contour model´s energy between two points. Initialization is made easier and the curve is not trapped at a local minimum by spurious edges. We modify the “snake” energy by including the internal regularization term in the external potential term. Our method is based on the interpretation of the snake as a path of minimal length in a Riemannian metric, or as a path of minimal weighted distance. We then make use of a new numerical method to find the shortest path which is the global minimum of the energy among all paths joining the two endpoints. We show examples of our method applied to real aerial and medical images

Keywords

edge detection; feature extraction; minimisation; Riemannian metric; active contour model energy; aerial images; edge integration; external potential term; fast marching; global minimum; graph search algorithms; internal regularization term; medical images; minimal length path; minimal weighted distance path; numerical method; shape modeling; shortest path; snake energy; Active contours; Biomedical imaging; Boundary conditions; Feature extraction; Joining processes; Laboratories; Length measurement; Level set; Pixel; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559536

Filename

559536