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