<?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>1794-1237</journal-id>
<journal-title><![CDATA[Revista EIA]]></journal-title>
<abbrev-journal-title><![CDATA[Rev.EIA.Esc.Ing.Antioq]]></abbrev-journal-title>
<issn>1794-1237</issn>
<publisher>
<publisher-name><![CDATA[Escuela de ingenieria de Antioquia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1794-12372019000100189</article-id>
<article-id pub-id-type="doi">10.24050/reia.v16i31.1215</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Técnicas de inteligencia artificial utilizadas en el procesamiento de imágenes y su aplicación en el análisis de pavimentos]]></article-title>
<article-title xml:lang="pt"><![CDATA[Técnicas de inteligência artificial utilizadas no processamento de imagens e sua aplicação na análise de pavimentos]]></article-title>
<article-title xml:lang="en"><![CDATA[Artificial Intelligence Techniques Used in the Processing of Images and Its Application in Pavement Analysis]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Reyes-Ortiz]]></surname>
<given-names><![CDATA[Oscar Javier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mejia]]></surname>
<given-names><![CDATA[Marcela]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Useche-Castelblanco]]></surname>
<given-names><![CDATA[Juan Sebastián]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Militar Nueva Granada  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<volume>16</volume>
<numero>31</numero>
<fpage>189</fpage>
<lpage>207</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1794-12372019000100189&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1794-12372019000100189&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1794-12372019000100189&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Debido al incremento en los costos de mantenimiento, rehabilitación y construcción de vías, estudiar las estructuras de pavimento para determinar su comportamiento y sus características mecánicas propias analizando la distribución y posición de sus partículas, se ha vuelto un campo de gran importancia en la ingeniería. Las nuevas herramientas de análisis buscan hacer este estudio más eficiente reduciendo su costo y tiempo de ejecución mediante el procesamiento digital de imágenes. El procesamiento digital tradicional está limitado en su sensibilidad ante perturbaciones externas que puedan modificar la imagen, por eso se han implementado diferentes técnicas de inteligencia artificial (IA) para optimizar los algoritmos. Este trabajo presenta una revisión de las diferentes aplicaciones de técnicas de IA recientes en el procesamiento de imágenes. Después se revisan los trabajos realizados específicamente con imágenes de pavimentos y se presentan posibles implementaciones futuras en este campo utilizando inteligencia artificial.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Due to the increase in the costs of maintenance and construction road, the pavement structures study for determine the behavior and mechanical characteristics of material, analyzing the distribution of the particles, has become a field of great importance in engineering. New analytical tools search to make this study more efficient with the reduce of its cost and execution time using image digital processing to extract the most useful photo features. Traditional digital processing is limited in its sensitivity to external disturbances that can modify the image, for this reason in recent years different techniques of artificial intelligence (AI) have been implemented to optimize the algorithms. This work presents a review of the different applications of recent AI techniques in image processing. Afterwards, the works made specifically with pavement images are reviewed and possible future implementations in this field are presented using artificial intelligence.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo Devido ao aumento nos custos de manutenção e construção rodoviária, o estudo de estruturas de pavimentos para determinar o comportamento e as características mecânicas do material, analisando a distribuição das partículas, tornou-se um campo de grande importância em engenharia. Novas ferramentas analíticas buscam tornar esse estudo mais eficiente com a redução de seu custo e tempo de execução usando processamento digital de imagens para extrair os recursos de foto mais úteis. O processamento digital tradicional é limitado em sua sensibilidade a distúrbios externos que podem modificar a imagem, por isso, nos últimos anos, diferentes técnicas de inteligência artificial (IA) foram implementadas para otimizar os algoritmos. Este trabalho apresenta uma revisão das diferentes aplicações de técnicas recentes de IA no processamento de imagens. Posteriormente, os trabalhos feitos especificamente com imagens de pavimentos são revisados e possíveis implementações futuras neste campo são apresentadas usando inteligência artificial.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Pavimentos]]></kwd>
<kwd lng="es"><![CDATA[Inteligencia Artificial]]></kwd>
<kwd lng="es"><![CDATA[Procesamiento Digital de Imágenes]]></kwd>
<kwd lng="en"><![CDATA[Pavement]]></kwd>
<kwd lng="en"><![CDATA[Artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[image digital processing]]></kwd>
<kwd lng="pt"><![CDATA[Pavimento]]></kwd>
<kwd lng="pt"><![CDATA[inteligência artificial]]></kwd>
<kwd lng="pt"><![CDATA[processamento digital de imagens]]></kwd>
</kwd-group>
</article-meta>
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