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A non-Newtonian gradient for contour detection in images with multiplicative noise
dc.contributor.author | Mora, Marco | |
dc.contributor.author | Cordova-Lepe, Fernando | |
dc.contributor.author | Del Valle-Salamanca, Rodrigo | |
dc.date.accessioned | 2017-12-04T12:23:10Z | |
dc.date.available | 2017-12-04T12:23:10Z | |
dc.date.issued | 2012 | |
dc.identifier.uri | http://repositorio.ucm.cl/handle/ucm/1540 | |
dc.description.abstract | In 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. | es_CL |
dc.language.iso | en | es_CL |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Chile | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | * |
dc.source | Pattern Recognition Letters, 33(10), 1245-1256 | es_CL |
dc.subject | Non-Newtonian gradient | es_CL |
dc.subject | Multiplicative gradient | es_CL |
dc.subject | Multiplicative noise | es_CL |
dc.subject | Contour detection | es_CL |
dc.title | A non-Newtonian gradient for contour detection in images with multiplicative noise | es_CL |
dc.type | Article | es_CL |
dc.ucm.facultad | Facultad de Ciencias de la Ingeniería | es_CL |
dc.ucm.indexacion | Scopus | es_CL |
dc.ucm.indexacion | Isi | es_CL |
dc.ucm.uri | sibib2.ucm.cl:2048/login?url=https://www.sciencedirect.com/science/article/pii/S0167865512000530?via%3Dihub | es_CL |
dc.ucm.doi | doi.org/10.1016/j.patrec.2012.02.012 | es_CL |
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