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Optics Letters

Optics Letters


  • Vol. 23, Iss. 7 — Apr. 1, 1998
  • pp: 488–490

Improvement in robustness of the statistically independent region snake-based segmentation method of target-shape tracking

Christophe Chesnaud, Vincent Pag, and Philippe Refregier  »View Author Affiliations

Optics Letters, Vol. 23, Issue 7, pp. 488-490 (1998)

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We propose a technique to increase the robustness of a snake-based segmentation method originally introduced to track the shape of a target with random white Gaussian intensity upon a random white Gaussian background. Because these statistical conditions are not always fulfilled with optronic images, we describe two improvements that increase the field of application of this approach. We first show that regularized whitening preprocessing allows one to apply the original method successfully for a target with a correlated texture upon a correlated background. We then introduce a simple multiscale approach that increases the robustness of the segmentation against the initialization of the snake (i.e., the initial shape used for the segmentation). These results provide a robust and practical method for determination of the reference image for correlation techniques.

© 1998 Optical Society ofAmerica

OCIS Codes
(100.0100) Image processing : Image processing
(100.5010) Image processing : Pattern recognition
(200.3050) Optics in computing : Information processing

Christophe Chesnaud, Vincent Pag, and Philippe Refregier, "Improvement in robustness of the statistically independent region snake-based segmentation method of target-shape tracking," Opt. Lett. 23, 488-490 (1998)

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