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Proceedings Paper

Fast pseudo-semantic segmentation for joint region-based hierarchical and multiresolution representation
Author(s): Rafiq Sekkal; Clement Strauss; François Pasteau; Marie Babel; Olivier Deforges
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Paper Abstract

In this paper, we present a new scalable segmentation algorithm called JHMS (Joint Hierarchical and Multiresolution Segmentation) that is characterized by region-based hierarchy and resolution scalability. Most of the proposed algorithms either apply a multiresolution segmentation or a hierarchical segmentation. The proposed approach combines both multiresolution and hierarchical segmentation processes. Indeed, the image is considered as a set of images at different levels of resolution, where at each level a hierarchical segmentation is performed. Multiresolution implies that a segmentation of a given level is reused in further segmentation processes operated at next levels so that to insure contour consistency between different resolutions. Each level of resolution provides a Region Adjacency Graph (RAG) that describes the neighborhood relationships between regions within a given level of the multiresolution representation. Region label consistency is preserved thanks to a dedicated projection algorithm based on inter-level relationships. Moreover, a preprocess based on a quadtree partitioning reduces the amount of input data thus leading to a lower overall complexity of the segmentation framework. Experiments show that we obtain effective results when compared to the state of the art together with a lower complexity.

Paper Details

Date Published: 15 February 2012
PDF: 7 pages
Proc. SPIE 8305, Visual Information Processing and Communication III, 83050J (15 February 2012); doi: 10.1117/12.908829
Show Author Affiliations
Rafiq Sekkal, IETR-Image Group Lab., CNRS, INSA de Rennes (France)
Clement Strauss, IETR-Image Group Lab., CNRS, INSA de Rennes (France)
François Pasteau, IETR-Image Group Lab., CNRS, INSA de Rennes (France)
Marie Babel, Univ. Européenne de Bretagne (France)
INSA de Rennes (France)
IRISA, INRIA Rennes (France)
Olivier Deforges, IETR-Image Group Lab., CNRS, INSA de Rennes (France)


Published in SPIE Proceedings Vol. 8305:
Visual Information Processing and Communication III
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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