<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462011000100005</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Contrast Enhancement Based on a Morphological Rational Multiscale Algorithm]]></article-title>
<article-title xml:lang="es"><![CDATA[Mejora de contraste basada en un algoritmo morfológico racional multiescala]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Peregrina Barreto]]></surname>
<given-names><![CDATA[Hayde]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Terol Villalobos]]></surname>
<given-names><![CDATA[Iván R]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad Autónoma de Querétaro Campus San Juan del Río Querétaro Facultad de Ingeniería]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Centro de Investigación y Desarrollo Tecnológico en Electroquímica  ]]></institution>
<addr-line><![CDATA[Querétaro México]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2011</year>
</pub-date>
<volume>14</volume>
<numero>3</numero>
<fpage>253</fpage>
<lpage>267</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462011000100005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462011000100005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462011000100005&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Contrast enhancement is an important task in image processing and it is commonly used as a preprocessing step in order to improve the results for other tasks such as segmentation. However, not only do some methods for contrast improvement have good performance working on low contrast regions, but they also affect good contrast regions; owing to the fact that some elements could be vanished, representing a loss of information. A method focused on images with different luminance conditions is introduced in the present work. The proposed method is based on morphological filters by reconstruction and rational operations, which together, allow a uniform contrast enhancement. Furthermore, due to the properties of these morphological transformations, the creation of new elements on image is avoided. The processing was made on luminance values in the u'v'Y' color space, which permits to keep the chrominance and to avoid the creation of new colors. As a result of the previous considerations, the proposed method keeps the natural color appearance of the image.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[La mejora del contraste es una tarea importante en procesamiento de imágenes y a menudo es usada como paso de pre-procesamiento a fin de mejorar los resultados de procesos como segmentación. Algunos métodos para mejora de contraste tienen un buen desempeño trabajando en regiones con poco contraste pero también afectan las regiones con suficiente contraste; este es un efecto no deseado debido a que algunos elementos de la imagen pueden ser eliminados lo cual representa una pérdida de información. En este trabajo se presenta una mejora de contraste enfocada a imágenes que tienen diferente luminancia sobre la misma escena. El método propuesto está basado en filtros morfológicos por reconstrucción y operaciones racionales, que en conjunto permiten una mejora de contraste uniforme. Además, debido a las propiedades de estas transformaciones morfológicas se evita la creación de nuevos elementos. El procesamiento trabaja sobre los valores de luminancia en el espacio de color u'v'Y', lo cual permite mantener el croma y evitar la creación de nuevos colores. Como resultado de las consideraciones mencionadas, este método provee una mejora de contraste uniforme y mantiene la apariencia natural de la imagen.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Contrast enhancement]]></kwd>
<kwd lng="en"><![CDATA[Rational operations]]></kwd>
<kwd lng="en"><![CDATA[Morphological filters]]></kwd>
<kwd lng="en"><![CDATA[Mathematical morphology]]></kwd>
<kwd lng="es"><![CDATA[Mejora de contraste]]></kwd>
<kwd lng="es"><![CDATA[Operaciones racionales]]></kwd>
<kwd lng="es"><![CDATA[Filtros morfológicos]]></kwd>
<kwd lng="es"><![CDATA[Morfología matemática]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="justify"><font face="verdana" size="4">Art&iacute;culos</font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="center"><font face="verdana" size="4"><b>Contrast Enhancement Based on a Morphological Rational Multiscale Algorithm</b></font></p> 	    <p align="center"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="center"><font face="verdana" size="3"><b>Mejora de contraste basada en un algoritmo morfol&oacute;gico racional multiescala</b></font></p>     <p align="center"><i><font face="verdana" size="2">&nbsp;</font></i></p> 	    <p align="center"><font face="verdana" size="2"><b>Hayde Peregrina Barreto<sup>1</sup> and Iv&aacute;n R. Terol Villalobos<sup>2</sup></b></font></p> 	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2"><sup><i>1</i></sup> <i>Facultad de Ingenier&iacute;a, Universidad Aut&oacute;noma de Quer&eacute;taro&#150;Campus San Juan del R&iacute;o Quer&eacute;taro, M&eacute;xico. Email:</i> <a href="mailto:hperegrina@ieee.org">hperegrina@ieee.org</a></font></p> 	    <p align="justify"><font face="verdana" size="2"><i><sup>2 </sup>Centro de Investigaci&oacute;n y Desarrollo Tecnol&oacute;gico en Electroqu&iacute;mica (CIDETEQ) Quer&eacute;taro, M&eacute;xico. Email:</i> <a href="mailto:famter@ciateq.net.mx">famter@ciateq.net.mx</a></font></p> 	    ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2">Article received on July 27, 2009    <br>      Accepted on January 06, 2010</font></p> 	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2"><b>Abstract</b></font></p> 	    <p align="justify"><font face="verdana" size="2">Contrast enhancement is an important task in image processing and it is commonly used as a preprocessing step in order to improve the results for other tasks such as segmentation. However, not only do some methods for contrast improvement have good performance working on low contrast regions, but they also affect good contrast regions; owing to the fact that some elements could be vanished, representing a loss of information. A method focused on images with different luminance conditions is introduced in the present work. The proposed method is based on morphological filters by reconstruction and rational operations, which together, allow a uniform contrast enhancement. Furthermore, due to the properties of these morphological transformations, the creation of new elements on image is avoided. The processing was made on luminance values in the u'v'Y' color space, which permits to keep the chrominance and to avoid the creation of new colors. As a result of the previous considerations, the proposed method keeps the natural color appearance of the image. </font></p> 	    <p align="justify"><font face="verdana" size="2"><b>Keywords: </b>Contrast enhancement, Rational operations, Morphological filters, Mathematical morphology.</font></p> 	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2"><b>Resumen</b></font></p> 	    <p align="justify"><font face="verdana" size="2">La mejora del contraste es una tarea importante en procesamiento de im&aacute;genes y a menudo es usada como paso de pre&#150;procesamiento a fin de mejorar los resultados de procesos como segmentaci&oacute;n. Algunos m&eacute;todos para mejora de contraste tienen un buen desempe&ntilde;o trabajando en regiones con poco contraste pero tambi&eacute;n afectan las regiones con suficiente contraste; este es un efecto no deseado debido a que algunos elementos de la imagen pueden ser eliminados lo cual representa una p&eacute;rdida de informaci&oacute;n. En este trabajo se presenta una mejora de contraste enfocada a im&aacute;genes que tienen diferente luminancia sobre la misma escena. El m&eacute;todo propuesto est&aacute; basado en filtros morfol&oacute;gicos por reconstrucci&oacute;n y operaciones racionales, que en conjunto permiten una mejora de contraste uniforme. Adem&aacute;s, debido a las propiedades de estas transformaciones morfol&oacute;gicas se evita la creaci&oacute;n de nuevos elementos. El procesamiento trabaja sobre los valores de luminancia en el espacio de color u'v'Y', lo cual permite mantener el croma y evitar la creaci&oacute;n de nuevos colores. Como resultado de las consideraciones mencionadas, este m&eacute;todo provee una mejora de contraste uniforme y mantiene la apariencia natural de la imagen. </font></p> 	    ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2"><b>Palabras clave: </b>Mejora de contraste, Operaciones racionales, Filtros morfol&oacute;gicos, Morfolog&iacute;a matem&aacute;tica.</font></p> 	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2"><a href="/pdf/cys/v14n3/v14n3a5.pdf" target="_blank">DESCARGAR ART&Iacute;CULO EN FORMATO PDF</a> </font></p> 	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2"><b>Acknowledgements</b></font></p> 	    <p align="justify"><font face="verdana" size="2">We would like to thank the anonymous reviewers for their valuable comments. The author Hayde Peregrina&#150;Barreto thanks the government agency CONACyT for the financial support scholarship 206082. This work was funded by the government agency CONACyT (58367), Mexico.</font></p> 	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2"><b>Referencias</b></font></p> 	    <!-- ref --><p align="justify"><font face="verdana" size="2"><b>1. Barnard, K.</b> &amp; <b>Funt</b>, <b>B. (1999).</b> Investigations into multi&#150;scale Retinex.<i> Colour Imaging: Vision and Technology</i> (9&#150;17). New York: Wiley.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=2051873&pid=S1405-5546201100010000500001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>  	    ]]></body>
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