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|Title:||Differential Morphological Decomposition Segmentation: A Multi-Scale Object Based Image Description|
|Authors:||GUEGUEN LIONEL; SOILLE Pierre; PESARESI Martino|
|Citation:||Pattern Recognition (ICPR), 2010 20th International Conference on - ISBN: 978-1-4244-7542-1 p. 938-941|
|Publisher:||IEEE Computer Society|
|Type:||Contributions to Conferences|
|Abstract:||In this paper, we propose a novel approach for breaking up an image into multi-scale overlapping objects. The image is decomposed by granulometry or differential morphological pyramid, resulting in a discrete scale-space representation. Then, the scale-space transform is segmented by a region based method. Projecting the obtained scale-space partition into space constitutes the disintegrated image representation, which enables a multi-scale object based image description.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
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