{"id":13088,"date":"2001-01-10T00:00:00","date_gmt":"2001-01-10T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/segmentation-classification-and-modelization-of-textures-by-means-of-multiresolution-decomposition\/"},"modified":"2001-01-10T00:00:00","modified_gmt":"2001-01-10T00:00:00","slug":"segmentation-classification-and-modelization-of-textures-by-means-of-multiresolution-decomposition","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/segmentation-classification-and-modelization-of-textures-by-means-of-multiresolution-decomposition\/","title":{"rendered":"Segmentation, classification and modelization of textures by means of multiresolution decomposition"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Felipe Lumbreras Ruiz <\/strong><\/h2>\n<p>El analisis de texturas es un area de estudio interesante con suficiente peso especifico dentro de los diferentes campos que componen la vision por ordenador. En este trabajo hemos desarrollado metodos especificos para resolver aspectos importantes de dicha area. El primer acercamiento al tema viene de la mano de un problema de segmentaci\u00f3n de un tipo de texturas muy concreto como son las im\u00e1genes microscopicas de laminas de marmol. este primer tipo de im\u00e1genes se componen de un conjunto de granos cuyas formas y tama\u00f1os sirven a los especialistas para indentificar,catalogar y determinar el origen de dichas muestras. Identificar y analizar los granos que componen tales im\u00e1genes de manera individual necesita de una etapa de segmentacion. En esencia, esto implica la localizacion de las fronteras representadas en este caso por valles que separan zonas planas asociadas a los granos. De los diferentes metodos estudiados para la deteccion de dichos valles y para el caso concreto de imagnes petrograficas son los basados en tecnicas de morfolog\u00eda matematica los que han dado mejores resultados. ademas, la segmentacion requiere un filtrado previo para el que se han estudiado nuevamente un conjunto de posibilidades entre las que cabe destacar los algoritmos multirresolucion basados en wavelets.  el segundo problema que hemos atacado en este trabajo es la clasificacion de im\u00e1genes de textura. En el tambien hemos utilizado tecnicas multirresolucion como base para su resolucion. A diferencia de otros enfoques de car\u00e1cter global que encontramos extensamente en la literatura sobre texturas, nos hemos centrado en problemas donde las diferencias visuales entre las clases de dichas texturas son muy peque\u00f1as. Y puesto que no hemos establecido restricciones fuertes en este analisis, las estrategias desarrolladas son aplicables aun extenso espectro de texturas, como pueden ser las baldosas ceramicas, las im\u00e1genes microscopias de pigmentos de efecto, etc<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Segmentation, classification and modelization of textures by means of multiresolution decomposition<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Segmentation, classification and modelization of textures by means of multiresolution decomposition <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Felipe Lumbreras Ruiz <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Aut\u00f3noma de barcelona<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/10\/2001<\/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>Joan Serrat Gual<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Juan  jose Villanueva pipa\u00f3n <\/li>\n<li>Jorge Nu\u00f1ez de murga (vocal)<\/li>\n<li>Jaime Lopez-krahe (vocal)<\/li>\n<li>aureli Alvarez perez (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Felipe Lumbreras Ruiz El analisis de texturas es un area de estudio interesante con suficiente peso especifico [&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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