Keywords (5)

Academic

Publications

Selection of Relevant Nodes from Component-Trees in Linear Time

Selection of Relevant Nodes from Component-Trees in Linear Time,10.1007/978-3-642-19867-0_38,Nicolas Passat,Benoît Naegel

Edit

Selection of Relevant Nodes from Component-Trees in Linear Time (Citations: 1)


	BibTex \| RIS \| RefWorks Download

Component-trees associate to a discrete grey-level image a descriptive data structure induced by the inclusion relation between the binary components obtained at successive level-sets. This article presents a method to extract a subset of the component-tree of an image enabling to fit at best a given binary target selected beforehand in the image. A proof of the algorithmic efficiency of this method is proposed. Application examples related to the extraction of drop caps from ancient documents emphasise the usefulness of this technique in the context of assisted segmentation.

Conference: Discrete Geometry for Computer Imagery - DGCI , pp. 453-464, 2011

DOI: 10.1007/978-3-642-19867-0_38

Cumulative Annual

View Publication

( www.springerlink.com )

( www.informatik.uni-trier.de )

- ...In [8], some of the authors have proved that K α = F α (E), where F α is recursively defined, for all N ∈K ,b y...
Alice Dufour, et al. Interactive 3D brain vessel segmentation from an example

Keywords (5)

Selection of Relevant Nodes from Component-Trees in Linear Time,10.1007/978-3-642-19867-0_38,Nicolas Passat,Benoît Naegel

Citation Context (1)

Alice Dufour, et al. Interactive 3D brain vessel segmentation from an example

References (10)

Attribute Openings, Thinnings, and Granulometries (Citations: 140)

Connected Filtering and Segmentation Using Component Trees (Citations: 51)

Efficient Algorithms to Implement the Confinement Tree (Citations: 16)

Tree Representation for Image Matching and Object Recognition (Citations: 24)

A comparative evaluation of interactive segmentation algorithms (Citations: 11)

Citations (1)

Interactive 3D brain vessel segmentation from an example


	The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.