DocumentCode
725920
Title
An improved algorithm for active contour extraction based on greedy snake
Author
Hui Ren ; Zhibin Su ; Chaohui Lv ; Fangjv Zou
Author_Institution
Sch. of Inf. & Eng., Commun. Univ. of China, Beijing, China
fYear
2015
fDate
June 28 2015-July 1 2015
Firstpage
589
Lastpage
592
Abstract
To get the closed boundary of target object, this paper proposed an improved algorithm with disparity-guided constraint for active contour extraction based on greedy snake model. The disparity relationship between the control point and the centre of the object could introduce a new external force, which adds the function of shrinking and expanding for the traditional greedy snake when the curve falls onto texture-less regions. In addition, our method also uses the improved model iteratively with processed control points as the original input. Experiment results have proved this method will obtain the accurate contour made up of uniform and dense points, which is more effective than the traditional greedy snake algorithm.
Keywords
feature extraction; greedy algorithms; active contour extraction; disparity-guided constraint; greedy snake algorithm; greedy snake model; texture-less region; Active contours; Adaptation models; Computational modeling; Euclidean distance; Force; Mathematical model; Process control; active contour; contour extraction; disparity; greedy snake;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
Conference_Location
Las Vegas, NV
Type
conf
DOI
10.1109/ICIS.2015.7166662
Filename
7166662
Link To Document