Top-Down segmentation of histological images using a digital deformable model - Archive ouverte HAL
Communication Dans Un Congrès Année : 2009

Top-Down segmentation of histological images using a digital deformable model

Résumé

This paper presents a straightforward top-down segmentation method based on a contour approach on histological images. Our approach relies on a digital deformable model whose internal energy is based on the minimum length polygon and that uses a greedy algorithm to minimise its energy. Experiments on real histological images of breast cancer yields results as good as that of classical active contours.

Dates et versions

hal-00521058 , version 1 (21-01-2014)

Identifiants

Citer

François de Vieilleville, Jacques-Olivier Lachaud, Paulette Herlin, Olivier Lezoray, Benoit Plancoulaine. Top-Down segmentation of histological images using a digital deformable model. International Symposium on Visual Computing, Dec 2009, Las Vegas, United States. pp.327-336, ⟨10.1007/978-3-642-10331-5_31⟩. ⟨hal-00521058⟩
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