{"id":33828,"date":"1998-01-01T00:00:00","date_gmt":"1998-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/contribucion-al-tratamiento-de-imagenes-filtros-selectivos-tipo-mediana-y-propiedades-de-la-divergencia-de-jensen-shannon\/"},"modified":"1998-01-01T00:00:00","modified_gmt":"1998-01-01T00:00:00","slug":"contribucion-al-tratamiento-de-imagenes-filtros-selectivos-tipo-mediana-y-propiedades-de-la-divergencia-de-jensen-shannon","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/contribucion-al-tratamiento-de-imagenes-filtros-selectivos-tipo-mediana-y-propiedades-de-la-divergencia-de-jensen-shannon\/","title":{"rendered":"Contribucion al tratamiento de imagenes: filtros selectivos tipo mediana y propiedades de la divergencia de jensen-shannon."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Abdessamad Ben Hamza <\/strong><\/h2>\n<p>La presente memoria se encuadra dentro del marco definido por el procesamiento digital de im\u00e1genes, su teor\u00eda y sus aplicaciones, y recoge los resultados de la investigaci\u00f3n realizada en las siguientes dos \u00e1reas: preprocesamiento, con la aportaci\u00f3n de dos nuevas clases de filtros, y detecci\u00f3n de bordes, con el estudio te\u00f3rico de la divergencia de jensen-shannon.  por una parte, se presentan dos filtros no lineales basados en la mediana para la supresi\u00f3n del ruido y la preservaci\u00f3n de detalles en la imagen, mejorando siempre las capacidades de otros filtros de tipo mediana presentes en la literatura. Estos nuevos filtros no lineales se denominan filtros selectivos tipo mediana.  por otra parte, la divergencia de jensen-shannon ha sido utilizada recientemente por el grupo de investigaci\u00f3n \u00abprocesamiento de im\u00e1genes\u00bb de la universidad de granada, como medida discriminadora robusta en la detecci\u00f3n de bordes en im\u00e1genes ruidosas y\/o texturadas. Sin embargo en su aplicaci\u00f3n pr\u00e1ctica surgieron diversos escollos de \u00edndole matem\u00e1tica. En consecuencia el objeto de parte del trabajo que se presenta en la memoria es el estudio de ciertas propiedades de esta medida, las cuales en su momento facilitaron la implementaci\u00f3n pr\u00e1ctica de los algoritmos de detecci\u00f3n de bordes.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Contribucion al tratamiento de imagenes: filtros selectivos tipo mediana y propiedades de la divergencia de jensen-shannon.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Contribucion al tratamiento de imagenes: filtros selectivos tipo mediana y propiedades de la divergencia de jensen-shannon. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Abdessamad Ben Hamza <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Granada<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1998<\/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>Jos\u00e9 Mart\u00ednez Aroza<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Claudi Alsina Catala <\/li>\n<li> Quesada Molina Jos\u00e9 Juan (vocal)<\/li>\n<li>Gaspar Mayor Forteza (vocal)<\/li>\n<li>Ram\u00f3n Rom\u00e1n Rold\u00e1n (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Abdessamad Ben Hamza La presente memoria se encuadra dentro del marco definido por el procesamiento digital de [&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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