dc.creatorMora, Marco
dc.creatorCordova-Lepe, Fernando
dc.creatorDel Valle-Salamanca, Rodrigo
dc.date2017-12-04T12:23:10Z
dc.date2017-12-04T12:23:10Z
dc.date2012
dc.date.accessioned2019-11-20T15:10:12Z
dc.date.available2019-11-20T15:10:12Z
dc.identifierhttp://repositorio.ucm.cl:8080/handle/ucm/1540
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3033242
dc.descriptionIn this paper, a new operator for contour detection in images with multiplicative noise is presented. Traditional methods of edge detection, as those based in gradient operator or measures of variance, follow a logic and a math formulation in correspondence with the Differential and Integral Calculus of Newton. This work presents a new operator of non-Newtonian type which had shown be more efficient in contour detection than the traditional operators. Like the regular gradient, a non-Newtonian gradient can be used in a number of more complex methods, which shows its potential in the contours detection in images affected by multiplicative noise.
dc.languageen
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.sourcePattern Recognition Letters, 33(10), 1245-1256
dc.subjectNon-Newtonian gradient
dc.subjectMultiplicative gradient
dc.subjectMultiplicative noise
dc.subjectContour detection
dc.titleA non-Newtonian gradient for contour detection in images with multiplicative noise
dc.typeArtículos de revistas


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