{"id":58238,"date":"2018-03-09T22:46:06","date_gmt":"2018-03-09T22:46:06","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/new-insights-on-multidimensional-image-and-tensor-field-segmentation-application-to-medical-image-analysis\/"},"modified":"2018-03-09T22:46:06","modified_gmt":"2018-03-09T22:46:06","slug":"new-insights-on-multidimensional-image-and-tensor-field-segmentation-application-to-medical-image-analysis","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/valladolid\/new-insights-on-multidimensional-image-and-tensor-field-segmentation-application-to-medical-image-analysis\/","title":{"rendered":"New insights on multidimensional image and tensor field segmentation. application to medical image analysis"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Rodrigo De Luis Garc\u00eda <\/strong><\/h2>\n<p>La obtenci\u00f3n de informaci\u00f3n de las im\u00e1genes mediante la extracci\u00f3n de caracter\u00edsticas apropiadas es un asunto de capital importancia en el procesado de im\u00e1genes y la visi\u00f3n por ordenador.  Dentro de este marco general, esta tesis se centra en la combinaci\u00f3n de la informaci\u00f3n de intensidad y de textura, codificada mediante el tensor de estructura local (lst, local structure tensor), para la segmentaci\u00f3n de im\u00e1genes. el lst es una herramienta bien conocida para la representaci\u00f3n de texturas orientadas, y su incorporaci\u00f3n al proceso de segmentaci\u00f3n produce mejoras en el funcionamiento de la segmentaci\u00f3n. Sin embargo, su uso combinado con la intensidad es un problema complejo que debe ser tratado cuidadosamente. Esta tesis explora varias alternativas para conseguir este uso combinado, y adem\u00e1s estudia el equilibrio entre ambas fuentes de informaci\u00f3n. dentro de un esquema de segmentaci\u00f3n mediante level sets, en primer lugar la segmentaci\u00f3n se lleva a cabo en el dominio tensorial a trav\u00e9s de la definici\u00f3n de nuevas variantes del lst que incorporan informaci\u00f3n de intensidad. tambi\u00e9n se ha considerado una perspectiva distinta, basada en una formulaci\u00f3n de la segmentaci\u00f3n mediante la minimizaci\u00f3n de un funcional com\u00fan que permite el uso del lst y la intensidad, respetando sus formas de representaci\u00f3n y las medidas de distancia m\u00e1s adecuadas.  Adem\u00e1s, se propone un procedimiento adaptativo para la obtenci\u00f3n de los par\u00e1metros de equilibro entre ambos t\u00e9rminos, teniendo en cuenta sus respectivas capacidades de discriminaci\u00f3n. en esta tesis tambi\u00e9n se estudia la segmentaci\u00f3n de campos tensoriales. En esta direcci\u00f3n, se propone una extensi\u00f3n de los m\u00e9todos que marcan el estado del arte en segmentaci\u00f3n de tensores basada en el modelado de los datos tensoriales mediante mezclas de gaussianas. La aplicaci\u00f3n de este esquema puede orientarse al uso combinado de la intensidad y la textura, como se ha mencionado anteriormente, as\u00ed como a la<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>New insights on multidimensional image and tensor field segmentation. application to medical image analysis<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 New insights on multidimensional image and tensor field segmentation. application to medical image analysis <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Rodrigo De Luis Garc\u00eda <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Valladolid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 27\/04\/2007<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Carlos Alberola Lopez<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal:  Palencia de lara c\u00e9sar <\/li>\n<li>jean-philippe Thiran (vocal)<\/li>\n<li>rachid Deriche (vocal)<\/li>\n<li>ferr\u00e1n Marqu\u00e9s acosta (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Rodrigo De Luis Garc\u00eda La obtenci\u00f3n de informaci\u00f3n de las im\u00e1genes mediante la extracci\u00f3n de caracter\u00edsticas apropiadas [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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