A novel real-time edge-preserving smoothing filter
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/22648
Tipus de documentText en actes de congrés
Data publicació2013
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
ProjecteINTELLACT - Intelligent observation and execution of Actions and manipulations (EC-FP7-269959)
Abstract
The segmentation of textured and noisy areas in images is a very challenging task due to the large variety of objects and materials in natural environments, which cannot be solved by a single similarity measure. In this paper, we address this problem by proposing a novel edge-preserving texture filter, which smudges the color values inside uniformly textured areas, thus making the processed image more workable for color-based image segmentation. Due to the highly parallel structure of the method, the implementation on a GPU runs in realtime, allowing us to process standard images within tens of milliseconds. By preprocessing images with this novel filter before applying a recent real-time color-based image segmentation method, we obtain significant improvements in performance for images from the Berkeley dataset, outperforming an alternative version using a standard bilateral filter for preprocessing. We further show that our combined approach leads to better segmentations in terms of a standard performance measure than graph-based and mean-shift segmentation for the Berkeley image dataset.
CitacióReich, S. [et al.]. A novel real-time edge-preserving smoothing filter. A: International Conference on Computer Vision Theory and Applications. "VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications". Barcelona: 2013, p. 1-11.
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1383-A-novel-re ... rving-smoothing-filter.pdf | 5,287Mb | Visualitza/Obre |