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Pediredla, Adithya Kumar and Seelamantula, Chandra Sekhar (2012) A UNIFIED APPROACH FOR OPTIMIZATION OF SNAKUSCULES AND OVUSCULES. In: IEEE International Conference on Acoustics, Speech and Signal Processing, MAR 25-30, 2012 , Kyoto, JAPAN, pp. 681-684.

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Official URL: http://dx.doi.org/10.1109/ICASSP.2012.6287975


Automated image segmentation techniques are useful tools in biological image analysis and are an essential step in tracking applications. Typically, snakes or active contours are used for segmentation and they evolve under the influence of certain internal and external forces. Recently, a new class of shape-specific active contours have been introduced, which are known as Snakuscules and Ovuscules. These contours are based on a pair of concentric circles and ellipses as the shape templates, and the optimization is carried out by maximizing a contrast function between the outer and inner templates. In this paper, we present a unified approach to the formulation and optimization of Snakuscules and Ovuscules by considering a specific form of affine transformations acting on a pair of concentric circles. We show how the parameters of the affine transformation may be optimized for, to generate either Snakuscules or Ovuscules. Our approach allows for a unified formulation and relies only on generic regularization terms and not shape-specific regularization functions. We show how the calculations of the partial derivatives may be made efficient thanks to the Green's theorem. Results on synthesized as well as real data are presented.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright for this article belongs to IEEE, NEW YORK,
Keywords: Active contours;Snakes;Affine transformation;Snakuscule;Ovuscule
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 12 Feb 2013 11:00
Last Modified: 12 Feb 2013 11:00
URI: http://eprints.iisc.ac.in/id/eprint/45806

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