<html> <head> <meta http-equiv="content-type" content="text/html; charset=ISO-8859-1"> </head> <body bgcolor="#FFFFFF" text="#000000"> A new article is available in IPOL: <a class="moz-txt-link-freetext" href="http://www.ipol.im/pub/art/2014/71/">http://www.ipol.im/pub/art/2014/71/</a> <meta charset="utf-8"> Benoît Naegel and Nicolas Passat, Interactive Segmentation Based on Component-trees, Image Processing On Line, 4 (2014), pp. 89–97. <a class="moz-txt-link-freetext" href="http://dx.doi.org/10.5201/ipol.2014.71">http://dx.doi.org/10.5201/ipol.2014.71</a> Abstract <meta charset="utf-8"> 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. </body> </html>