A novel real-time edge-preserving smoothing filter

Autor: Reich, Simon, Abramov, Alexey, Papon, Jeremie, Worgotter, Florentin, Dellen, Babette
Přispěvatelé: Universitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Recercat. Dipósit de la Recerca de Catalunya
instname
Digital.CSIC. Repositorio Institucional del CSIC
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Popis: Presentado a la 8th International Conference on Computer Vision Theory and Applications celebrada en Barcelona del 21 al 24 de febrero de 2013.
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 real-time, 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.
The research leading to these results has received funding from the European Community’s Seventh Framework Programme FP7/2007-2013 (Specific Programme Cooperation, Theme 3, Information and Communication Technologies) under grant agreement no. 269959, Intellact. B. Dellen acknowledges support from the Spanish Ministry of Science and Innovation through a Ramon y Cajal program.
Databáze: OpenAIRE
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