Top-Down Segmentation of Histological Images Using a Digital Deformable Model
Jan 1, 2009·
,,,·
0 min read
F. De Vieilleville
Jacques-Olivier Lachaud
P. Herlin
O. Lezoray
B. Plancoulaine
Abstract
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.
Type
Publication
Advances in Visual Computing, volume 5875 of Lecture Notes in Computer Science, pp 327-336, 2009, Springer
Discrete Deformable Model
Variational Model
Minimum Length Polygon
Digital Geometry
Active Contour
Snake
2D
Digital Contour
Histological Image
Image Segmentation
Authors
Professor of Computer Science
My research interests include digital geometry, geometry processing, image analysis, variational models and discrete calculus.