DocumentCode :
1508370
Title :
The Ovuscule
Author :
Thévenaz, Philippe ; Delgado-Gonzalo, Ricard ; Unser, Michael
Author_Institution :
Biomed. Imaging Group, Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
Volume :
33
Issue :
2
fYear :
2011
Firstpage :
382
Lastpage :
393
Abstract :
We propose an active contour (a.k.a. snake) that takes the shape of an ellipse. Its evolution is driven by surface terms made of two contributions: the integral of the data over an inner ellipse, counterbalanced by the integral of the data over an outer elliptical shell. We iteratively adapt the active contour to maximize the contrast between the two domains, which results in a snake that seeks elliptical bright blobs. We provide analytic expressions for the gradient of the snake with respect to its defining parameters, which allows for the use of efficient optimizers. An important contribution here is the parameterization of the ellipse which we define in such a way that all parameters have equal importance; this creates a favorable landscape for the proceedings of the optimizer. We validate our construct with synthetic data and illustrate its use on real data as well.
Keywords :
computational geometry; edge detection; gradient methods; shape recognition; active contour; defining parameters; elliptical bright blobs; elliptical shell; favorable landscape; inner ellipse; ovuscule; snake gradient; Active contours; Anisotropic magnetoresistance; Biomedical imaging; Geometry; Shape; Snakuscule; dynamic contour; ellipse.; snake; Algorithms; Diagnostic Imaging; Image Processing, Computer-Assisted; Microscopy, Phase-Contrast; Models, Theoretical; Phantoms, Imaging; Reproducibility of Results; Yeasts;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.2010.112
Filename :
5477424
Link To Document :
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