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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IPOL - Image Processing On Line - http://ipol.im/
contact [email protected] - http://www.ipol.im/meta/contact/
news+feeds twitter @IPOL_journal - http://www.ipol.im/meta/feeds/
announces [email protected] - http://tools.ipol.im/mm/announce/
discussions [email protected] - http://tools.ipol.im/mm/discuss/
