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
The first order absolute central moment as an edge-detector in cardiovascular imaging: a comparison with two well-known edge-detectors
F Faita;V Gemignani;A Benassi;E M Ferdeghini;
2004
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 GoGFile in questo prodotto:
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