[IPOL announce] new article: Segmentation with Active Contours

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2021/298/

Fabien Pierre, Mathieu Amendola, Clémence Bigeard, Timothé Ruel, and 
Pierre-Frédéric Villard,
Segmentation with Active Contours,
Image Processing On Line, 11 (2021), pp. 120–141.
https://doi.org/10.5201/ipol.2021.298


Abstract
Active contours (also known as snakes) have shown their ability to 
introduce regularity on image segmentation. In contrast with level-set 
approaches, the active contours techniques based on a contour 
parameterization are able to maintain the initial topology of the area 
of interest. For this reason, it has been used in recent medical 
research for diaphragm segmentation. Most of the on-line codes for 2D/3D 
segmentation, as well as built-in Matlab toolboxes are based on 
level-set methods. Moreover, in the literature, the implementation 
details of active contours methods with meshes in three dimensions are 
tight, making tedious any reproduction of these techniques. In this 
paper, we give some details of the implementation of active contours in 
2D/3D with meshes, especially about the choice of the use of a 2D/3D 
mesh and its refinement. We also explore the choice of the parameters 
with a quantitative study of their influence on the segmentation 
results. The 3D segmentation method has been applied to CT scan images 
of the lungs.