{"id":58775,"date":"2007-01-06T00:00:00","date_gmt":"2007-01-06T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/fuzzy-metrics-and-fuzzy-logic-for-colour-image-filtering\/"},"modified":"2007-01-06T00:00:00","modified_gmt":"2007-01-06T00:00:00","slug":"fuzzy-metrics-and-fuzzy-logic-for-colour-image-filtering","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/topologia\/fuzzy-metrics-and-fuzzy-logic-for-colour-image-filtering\/","title":{"rendered":"Fuzzy metrics and fuzzy logic for colour image filtering"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Samuel Morillas G\u00f3mez <\/strong><\/h2>\n<p>El filtrado de imagen es una tarea fundamental para la mayor\u00eda de los sistemas de visi\u00f3n por computador cuando las im\u00e1genes se usan para an\u00e1lisis autom\u00e1tico o, incluso, para inspecci\u00f3n humana. De hecho, la presencia de ruido en una imagen puede ser un grave impedimento para las sucesivas tareas de procesamiento de imagen como, por ejemplo, la detecci\u00f3n de bordes o el reconocimiento de patrones u objetos y, por lo tanto, el ruido debe ser reducido.   en los \u00faltimos a\u00f1os el inter\u00e9s por utilizar im\u00e1genes en color se ha visto incrementado de forma significativa en una gran variedad de aplicaciones. Es por esto que el filtrado de imagen en color se ha convertido en un \u00e1rea de investigaci\u00f3n interesante. Se ha observado ampliamente que las im\u00e1genes en color deben ser procesadas teniendo en cuenta la correlaci\u00f3n existente entre los distintos canales de color de la imagen. En este sentido, la soluci\u00f3n probablemente m\u00e1s conocida y estudiada es el enfoque vectorial. Las primeras soluciones de filtrado vectorial, como por ejemplo el filtro de mediana vectorial (vmf) o el filtro direccional vectorial (vdf), se basan en la teor\u00eda de la estad\u00edstica robusta y, en consecuencia, son capaces de realizar un filtrado robusto. Desafortunadamente, estas t\u00e9cnicas no se adaptan a las caracter\u00edsticas locales de la imagen, lo que implica que usualmente los bordes y detalles de las im\u00e1genes se emborronan y pierden calidad. A fin de solventar este problema, varios filtros vectoriales adaptativos se han propuesto recientemente.   en la presente tesis doctoral se han llevado a cabo dos tareas principales: (i) el estudio de la aplicabilidad de m\u00e9tricas difusas en tareas de procesamiento de imagen y (ii) el dise\u00f1o de nuevos filtros para imagen en color que sacan provecho de las propiedades de las m\u00e9tricas difusas y la l\u00f3gica difusa. Los resultados experimentales presentados en esta tesis muestran que las m\u00e9tricas difusas y la l\u00f3gica difusa son herramientas \u00fatiles pa<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Fuzzy metrics and fuzzy logic for colour image filtering<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Fuzzy metrics and fuzzy logic for colour image filtering <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Samuel Morillas G\u00f3mez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Valencia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/06\/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>Valent\u00edn Gregori Gregori<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: salvador Romaguera bonilla <\/li>\n<li>bogdan Smolka (vocal)<\/li>\n<li>e Kerre etienne (vocal)<\/li>\n<li>filiberto Pla ba\u00f1on (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Samuel Morillas G\u00f3mez El filtrado de imagen es una tarea fundamental para la mayor\u00eda de los sistemas [&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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