A causal extraction scheme in top-down pyramids for large images segmentation

Romain Goffe 1 Guillaume Damiand 2, 3 Luc Brun 4
1 SIC
XLIM - XLIM, Université de Poitiers
2 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 SIC
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : Applicative fields based on the analysis of large images must deal with two important problems. First, the size in memory of such images usually forbids a global image analysis hereby inducing numerous problems for the design of a global image partition. Second, due to the high resolution of such images, global features only appear at low resolutions and a single resolution analysis may loose important information. The tiled top-down pyramidal model has been designed to solve this two major challenges. This model provides a hierarchical encoding of the image at single or multiple resolutions using a top-down construction scheme. Moreover, the use of tiles bounds the amount of memory required by the model while allowing global image analysis. The main limitation of this model is the splitting step used to build one additional partition from the above level. Indeed, this step requires to temporary refine the split region up to the pixel level which entails high memory requirements and processing time. In this paper, we propose a new splitting step within the tiled top-down pyramidal framework which overcomes the previously mentioned limitations.
Type de document :
Communication dans un congrès
Springer. In 13th International Workshop On Structural and Syntactic Pattern Recognition (SSPR'10), Aug 2010, Cesme, Turkey. 6218, pp.264-274, 2010, Lecture Notes in Computer Science. 〈10.1007/978-3-642-14980-1_25〉
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Dernière modification le : jeudi 7 février 2019 - 17:47:43
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Romain Goffe, Guillaume Damiand, Luc Brun. A causal extraction scheme in top-down pyramids for large images segmentation. Springer. In 13th International Workshop On Structural and Syntactic Pattern Recognition (SSPR'10), Aug 2010, Cesme, Turkey. 6218, pp.264-274, 2010, Lecture Notes in Computer Science. 〈10.1007/978-3-642-14980-1_25〉. 〈hal-00567656v2〉

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