http://www.cnr.it/ontology/cnr/individuo/prodotto/ID179572
The first order absolute central moment as an edge-detector in cardiovascular imaging: a comparison with two well-known edge-detectors (Contributo in atti di convegno)
- Type
- Label
- The first order absolute central moment as an edge-detector in cardiovascular imaging: a comparison with two well-known edge-detectors (Contributo in atti di convegno) (literal)
- Anno
- 2004-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/CIC.2004.1442999 (literal)
- Alternative label
F. Faita; V. Gemignani; M. Giannoni; A. Benassi; E. M. Ferdeghini; M. Demi (2004)
The first order absolute central moment as an edge-detector in cardiovascular imaging: a comparison with two well-known edge-detectors
in Computers in Cardiology, Chicago, 19-22/9/2004
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- F. Faita; V. Gemignani; M. Giannoni; A. Benassi; E. M. Ferdeghini; M. Demi (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- Computers in Cardiology
Volume 31, 2004, Pages 561-564
Computers in Cardiology 2004;Chicago, IL;
19 September 2004through22 September 2004;Category number04CH37641;Code66075 (literal)
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- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&tp=&arnumber=1442999&contentType=Conference+Publications&sortType%3Dasc_p_Sequence%26filter%3DAND(p_IS_Number%3A30997)%26rowsPerPage%3D75 (literal)
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- Computers in Cardiology 2004 (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Titolo
- The first order absolute central moment as an edge-detector in cardiovascular imaging: a comparison with two well-known edge-detectors (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Abstract
- Cardiovascular imaging usually requires the detection and the localization of contours. Many mathematical operators have been studied to improve the performances of the edge detection algorithms but the most frequently used operators in literature remain the Laplacian of Gaussian (LoG) and the gradient of Gaussian (GoG). Recently, a new mathematical operator, which has been obtained from the generalization of the first absolute central moment, has been proposed. The aim of this paper is to compare the edge detection and localization capabilities of this operator with those of LoG and GoG (literal)
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