DocumentCode :
1032898
Title :
Snakuscules
Author :
Thévenaz, Philippe ; Unser, Michael
Author_Institution :
Ecole Polytech. federate de Lausanne (EPFL), Lausanne
Volume :
17
Issue :
4
fYear :
2008
fDate :
4/1/2008 12:00:00 AM
Firstpage :
585
Lastpage :
593
Abstract :
A snakuscule (a minuscule snake) is the simplest active contour that we were able to design while keeping the quintessence of traditional snakes: an energy term governed by the data, and a regularization term. Our construction is an area-based snake, as opposed to curve-based snakes. It is parameterized by just two points, thus further easing requirements on the optimizer. Despite their ultimate simplicity, snakuscules retain enough versatility to be employed for solving various problems such as cell counting and segmentation of approximately circular features. In this paper, we detail the design process of a snakuscule and illustrate its usefulness through practical examples. We claim that our didactic intentions are well served by the simplicity of snakuscules.
Keywords :
computational geometry; curve fitting; solid modelling; active contour; area-based snake; circular feature; fitting; geometric modeling; image region analysis; image shape analysis; minuscule snake; object detection; parameter estimation; position measurement; size measurement; snakuscules; Curve fitting; geometric modeling; image region analysis; image shape analysis; object detection; parameter estimation; position measurement; size measurement; Algorithms; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Models, Theoretical; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2007.914742
Filename :
4429291
Link To Document :
بازگشت