Title :
Fast parametric snakes for 3D microscopy
Author :
Delgado-Gonzalo, Ricard ; Chenouard, Nicolas ; Unser, Michael
Author_Institution :
Biomed. Imaging Group, Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
Abstract :
We present a new fast active contour for images in 3D microscopy. We introduce a fully parametric design that relies on exponential B-spline bases and allows us to impose a sphere-like topology. The proposed 3D snake can approximate blob-like objects with good accuracy. The optimization process is remarkably fast. Our technique yields successful segmentation results even for a challenging data set where object contours are not well defined. This happens because our parametric approach allows us to favor prior shapes. This work comes with a companion software that allows extensive interactions between the end-user and our snakes through the intuitive manipulation of the few control points that fully characterize them.
Keywords :
biomedical optical imaging; image segmentation; medical image processing; optical microscopy; optimisation; 3D microscopy; blob-like objects; exponential B-spline bases; fast active image contour; fast parametric snakes; image segmentation; optimization process; sphere-like topology; Active contours; Image segmentation; Microscopy; Optimization; Shape; Splines (mathematics); Vectors; 3D; Active contours; microscopy; parameterization; segmentation;
Conference_Titel :
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4577-1857-1
DOI :
10.1109/ISBI.2012.6235682