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Cells Tracking by Snakes

par Perez-Careta, J;Avina-Cervantes, Gabriel;Torres-Cisneros, M;Ibarra-Manzano, Oscar Manzano;Debeir, Olivier ;Aguilera-Gomez, Eduardo;Perez-Pantoja, E.;Negrete-Romero, G.
Editeur scientifique Herrera Corral, Gerardo;Montaño Zetina, Luis Manuel
Référence (March 17-19, 2008: México City, México), Medical physics : tenth Mexican Symposium on Medical Physics, American Institute of Physics, Melville, N.Y., page (124-128)
Publication Publié, 2008-08-01

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Résumé :

In this paper, a cells detection method based on active contours is presented. Active contours or snakes are widely use in image segmentation and tracking problems. Traditionally, active contours initialization is performance manually, this method provides an automatic initialization based on cross correlation. Cell tracking based on active contours provide a faster method to performance this task to multitarget problem. External and internal forces on the image are computed to determinate the action area of the active contours, this task is performance by the Vector Field Convolution (VFC) algorithm.