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| dc.contributor.author | Alexey, Abramov |
| dc.contributor.author | Kulvicius, Tomas |
| dc.contributor.author | Wörgötter, Florentin |
| dc.contributor.author | Dellen, Babette |
| dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
| dc.date.accessioned | 2010-06-28T11:45:44Z |
| dc.date.available | 2010-06-28T11:45:44Z |
| dc.date.issued | 2010 |
| dc.identifier.uri | http://hdl.handle.net/2117/7866 |
| dc.description.abstract | Efficient segmentation of color images is important for many applications in computer vision. Non-parametric solutions are required in situations where little or no prior knowledge about the data is available.
In this paper, we present a novel parallel image segmentation algorithm which segments images in real-time in a non-parametric way. The algorithm finds the equilibrium states of a Potts model in the superparamagnetic
phase of the system. Our method maps perfectly onto the Graphics Processing Unit (GPU) architecture and has been implemented using the framework NVIDIA Compute Unified Device Architecture (CUDA). For images of 256 X 320 pixels we obtained a frame rate of 30 Hz that
demonstrates the applicability of the algorithm to video-processing tasks
in real-time |
| dc.format.extent | 13 p. |
| dc.language.iso | eng |
| dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes |
| dc.subject.lcsh | Pattern recognition systems |
| dc.title | Real-time image segmentation on a GPU |
| dc.type | Conference report |
| dc.subject.lemac | Reconeixement de formes (Informàtica) |
| dc.subject.inspec | Classificació INSPEC::Pattern recognition |
| dc.relation.publisherversion | http://www.multicore-challenge.org/ |
| dc.rights.access | Open Access |
| drac.iddocument | 2567742 |
| dc.description.version | Preprint |
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