<?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>S1405-55462023000300801</article-id>
<article-id pub-id-type="doi">10.13053/cys-27-3-4605</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Calibración de cámara multiespectral utilizando redes neuronales convolucionales]]></article-title>
<article-title xml:lang="en"><![CDATA[Multispectral Camera Calibration Using Convolutional Neural Networks]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Juárez Trujillo]]></surname>
<given-names><![CDATA[Iván A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zavala de Paz]]></surname>
<given-names><![CDATA[Jonny P.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Palillero Sandoval]]></surname>
<given-names><![CDATA[Omar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Castillo Velásquez]]></surname>
<given-names><![CDATA[Francisco A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Centro de Investigación en Ingeniería y Ciencias Aplicadas  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Politécnica de Querétaro  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2023</year>
</pub-date>
<volume>27</volume>
<numero>3</numero>
<fpage>801</fpage>
<lpage>810</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462023000300801&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462023000300801&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462023000300801&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Se presenta una metodología para la calibración de cámara multiespectral mediante redes neuronales convolucionales. Se capturaron imágenes en RGB de la cámara multiespectral para cada uno de los estándares, las muestras son tomadas con las mismas condiciones de iluminación y con el mismo ángulo de captura. Las imágenes son fragmentadas en pequeños tamaños de matrices agregados a una clase específica, y guardada con una etiqueta especial para distinguirla de toda la base de datos de la clase, el mismo proceso lleva los 7 cerámicos de color restantes Lucideon Std. Uno de los cerámicos corresponderá a una clase en particular con una dimensión igual para todas las clases. Finalmente, con base a la metodología presentada se logra calibrar la cámara con respecto a las referencias.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: A methodology for multispectral camera calibration using convolutional neural networks is presented. RGB images were captured from the multispectral camera for each of the standards, the samples are taken under the same lighting conditions and with the same capture angle. The images are fragmented into small matrix sizes added to a specific class, and saved with a special label to distinguish it from the entire class database, the same process takes the remaining 7 Lucideon Std color tiles. One of the tiles will correspond to a particular class with an equal dimension for all classes. Finally, based on the presented methodology, it is possible to calibrate the camera with respect to the references.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Calibración]]></kwd>
<kwd lng="es"><![CDATA[cámara multiespectral]]></kwd>
<kwd lng="es"><![CDATA[redes neuronales convolucionales]]></kwd>
<kwd lng="es"><![CDATA[análisis de color]]></kwd>
<kwd lng="en"><![CDATA[Calibration]]></kwd>
<kwd lng="en"><![CDATA[multispectral camera]]></kwd>
<kwd lng="en"><![CDATA[convolutional neural networks]]></kwd>
<kwd lng="en"><![CDATA[color analysis]]></kwd>
</kwd-group>
</article-meta>
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