Abstract
In this paper we propose a contour extraction method based on the active contour model, which uses the GVF snake to obtain the initial segments for a contour; and then a minimal path method for the refinement stage, to obtain an accurate and more robust result. By employing the minimal path method to find missing segments between pairs of nodes defined on the contour obtained by the GVF snake, our algorithm is able to detect deep concave parts of object boundary, and works well even when the snake initialization is not very good.
Original language | English |
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Title of host publication | Proceedings - 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007 |
Pages | 223-228 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Dec 2007 |
Event | 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007 - Melbourne, VIC, Australia Duration: 11 Jul 2007 → 13 Jul 2007 |
Conference
Conference | 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007 |
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Country/Territory | Australia |
City | Melbourne, VIC |
Period | 11/07/07 → 13/07/07 |
ASJC Scopus subject areas
- General Computer Science
- Computer Networks and Communications
- Electrical and Electronic Engineering