[IPOL announce] new article: Interactive Segmentation Based on Component-trees

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2014/71/


Benoît Naegel and Nicolas Passat,
Interactive Segmentation Based on Component-trees,
Image Processing On Line, 4 (2014), pp. 89--97.
http://dx.doi.org/10.5201/ipol.2014.71

Abstract
Component-trees associate to a discrete gray-level image a descriptive 
data structure induced by the inclusion relation between the binary 
components obtained at successive level-sets. This article presents an 
interactive segmentation methodology based on component-trees. It 
consists of the extraction of a subset of the image component-tree, 
enabling the generation of a binary object which fits at best (with 
respect to the gray-level structure of the image) a given binary target 
selected beforehand in the image. Compared to other interactive 
segmentation methods, the proposed methodology has the following 
advantages: (i) the segmentation result is only composed of a union of 
connected components of the level-sets, which ensures that no 'false 
contours' are included; (ii) only one image marker is needed: in 
particular, there is no need to give a marker for the background 
(contrary to some other methods); (iii) the method is fast and 
efficient, leading to a result computed in real-time on common image sizes.




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