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http://hdl.handle.net/10261/97481
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dc.contributor.author | Reich, Simon | - |
dc.contributor.author | Abramov, Alexey | - |
dc.contributor.author | Papon, Jeremie | - |
dc.contributor.author | Wörgötter, Florentin | - |
dc.contributor.author | Dellen, Babette | - |
dc.date.accessioned | 2014-05-30T12:40:30Z | - |
dc.date.available | 2014-05-30T12:40:30Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | VISAPP 2013 | - |
dc.identifier.uri | http://hdl.handle.net/10261/97481 | - |
dc.description | Presentado a la 8th International Conference on Computer Vision Theory and Applications celebrada en Barcelona del 21 al 24 de febrero de 2013. | - |
dc.description.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 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. | - |
dc.description.sponsorship | 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. | - |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/269959 | - |
dc.relation.isversionof | Publisher's version | - |
dc.rights | openAccess | - |
dc.subject | Image segmentation | - |
dc.subject | GPU | - |
dc.subject | Ral-time | - |
dc.subject | Edge-preserving | - |
dc.subject | Texture filter | - |
dc.title | A novel real-time edge-preserving smoothing filter | - |
dc.type | comunicación de congreso | - |
dc.relation.publisherversion | http://www.visapp.visigrapp.org/?y=2013 | - |
dc.date.updated | 2014-05-30T12:40:30Z | - |
dc.description.version | Peer Reviewed | - |
dc.language.rfc3066 | eng | - |
dc.type.coar | http://purl.org/coar/resource_type/c_5794 | es_ES |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | comunicación de congreso | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
Aparece en las colecciones: | (IRII) Comunicaciones congresos |
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novel real-time edge.pdf | 5,43 MB | Unknown | Visualizar/Abrir |
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