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
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