Mostra el registre d'ítem simple
Automatic and robust single-camera specular highlight removal in cardiac images
dc.contributor.author | Alsaleh, Samar M. |
dc.contributor.author | Avilés Rivero, Angélica |
dc.contributor.author | Sobrevilla Frisón, Pilar |
dc.contributor.author | Casals Gelpí, Alicia |
dc.contributor.author | Hahn, James K. |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2016-04-08T09:26:11Z |
dc.date.issued | 2015 |
dc.identifier.citation | Alsaleh, S., Avilés, A., Sobrevilla, P., Casals, A., Hahn, J. Automatic and robust single-camera specular highlight removal in cardiac images. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015): Milan, Italy: 25-29 August 2015". Milan: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 675-678. |
dc.identifier.isbn | 9781424492695 |
dc.identifier.uri | http://hdl.handle.net/2117/85396 |
dc.description.abstract | In computer-assisted beating heart surgeries, accurate tracking of the heart’s motion is of huge importance and there is a continuous need to eliminate any source of error that might disturb the tracking process. One source of error is the specular reflection that appears on the glossy surface of the heart. In this paper, we propose a robust solution for the detection and removal of specular highlights. A hybrid color attributes and wavelet based edge projection approach is applied to accurately identify the affected regions. These regions are then recovered using a dynamic search-based inpainting with adaptive windowing. Experimental results demonstrate the precision and efficiency of the proposed method. Moreover, it has a real-time performance and can be generalized to various other applications. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica |
dc.subject.lcsh | Heart -- Imaging |
dc.subject.lcsh | Diagnostic imaging |
dc.subject.lcsh | Imaging systems in medicine |
dc.subject.other | Medical imaging |
dc.subject.other | Cardiac images |
dc.title | Automatic and robust single-camera specular highlight removal in cardiac images |
dc.type | Conference lecture |
dc.subject.lemac | Cor -- Imatges |
dc.subject.lemac | Diagnòstic per la imatge |
dc.subject.lemac | Imatges mèdiques |
dc.contributor.group | Universitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes |
dc.identifier.doi | 10.1109/EMBC.2015.7318452 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7318452 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 17566991 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Alsaleh, S.; Avilés, A.; Sobrevilla, P.; Casals, A.; Hahn, J. |
local.citation.contributor | Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
local.citation.pubplace | Milan |
local.citation.publicationName | 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015): Milan, Italy: 25-29 August 2015 |
local.citation.startingPage | 675 |
local.citation.endingPage | 678 |