DocumentCode :
1839995
Title :
Loop snakes: snakes with enhanced topology control
Author :
Oliveira, A. ; Ribeiro, S. ; Farias, Ricardo ; Esperanca, Claudio
Author_Institution :
Dept. of Syst. Eng.: & Comput. Sci., Univ. Fed. do Rio de Janeiro, Brazil
fYear :
2004
fDate :
17-20 Oct. 2004
Firstpage :
364
Lastpage :
371
Abstract :
Topologically adaptable snakes, or simply T-snakes, are a standard tool for automatically identifying multiple segments in an image. This work introduces a novel approach for controlling the topology of a T-snake. It focuses on the loops formed by the so-called projected curve which is obtained at every stage of the snake evolution. The idea is to make that curve the image of a piecewise linear mapping of an adequate class. Then, with the help of an additional structure - the loop-tree - it is possible to decide in O(1) time whether the region enclosed by each loop has already been explored by the snake. This makes it possible to construct an enhanced algorithm for evolving T-snakes whose performance is assessed by means of statistics and examples.
Keywords :
image segmentation; piecewise linear techniques; statistical analysis; topology; tree data structures; T-snakes; automatic identification; enhanced topology control; loop snakes; loop tree; multiple image segments; performance; piecewise linear mapping; projected curve; snake evolution; statistics; time complexity; topologically adaptable snakes; Active contours; Automatic control; Electron microscopy; Image segmentation; Piecewise linear techniques; Rendering (computer graphics); Scientific computing; Statistics; Systems engineering and theory; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics and Image Processing, 2004. Proceedings. 17th Brazilian Symposium on
ISSN :
1530-1834
Print_ISBN :
0-7695-2227-0
Type :
conf
DOI :
10.1109/SIBGRA.2004.1352982
Filename :
1352982
Link To Document :
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