dc.creator | Mora, Marco | |
dc.creator | Cordova-Lepe, Fernando | |
dc.creator | Del Valle-Salamanca, Rodrigo | |
dc.date | 2017-12-04T12:23:10Z | |
dc.date | 2017-12-04T12:23:10Z | |
dc.date | 2012 | |
dc.date.accessioned | 2019-11-20T15:10:12Z | |
dc.date.available | 2019-11-20T15:10:12Z | |
dc.identifier | http://repositorio.ucm.cl:8080/handle/ucm/1540 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3033242 | |
dc.description | 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. | |
dc.language | en | |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Chile | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
dc.source | Pattern Recognition Letters, 33(10), 1245-1256 | |
dc.subject | Non-Newtonian gradient | |
dc.subject | Multiplicative gradient | |
dc.subject | Multiplicative noise | |
dc.subject | Contour detection | |
dc.title | A non-Newtonian gradient for contour detection in images with multiplicative noise | |
dc.type | Artículos de revistas | |