<?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>1665-6423</journal-id>
<journal-title><![CDATA[Journal of applied research and technology]]></journal-title>
<abbrev-journal-title><![CDATA[J. appl. res. technol]]></abbrev-journal-title>
<issn>1665-6423</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-64232009000300003</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Polygonal Approximation of Contour Shapes Using Corner Detectors]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez-Cruz]]></surname>
<given-names><![CDATA[Hermilo]]></given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bribiesca]]></surname>
<given-names><![CDATA[Ernesto]]></given-names>
</name>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad Autónoma de Aguascalientes, Aguascalientes Centro de Ciencias Básicas Departamento de Ciencias de la Computación]]></institution>
<addr-line><![CDATA[Aguascalientes ]]></addr-line>
<country>México</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Universidad Nacional Autónoma de México Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas Departamento de Ciencias de la Computación]]></institution>
<addr-line><![CDATA[ D.F.]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2009</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2009</year>
</pub-date>
<volume>7</volume>
<numero>3</numero>
<fpage>275</fpage>
<lpage>290</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-64232009000300003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-64232009000300003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-64232009000300003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[A great amount of corner detectors that appear in literature are based on using the Freeman chain code of eight directions, which is used to represent contour shapes. We propose a new method for corner detection based on a three-symbol chain code representation, which requires lower storage memory and an easy way to obtain shape corners. We compare it with five existing methods, which are well known in the literature, giving our method a better performance. Furthermore, in order to reconstruct the original shapes through polygonal approximations, we propose an error parameter to quantify the efficiency. This can be accomplished by considering the redundancy of points produced when looking for corners and when computing the difference between the original region and the approximated polygon.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Gran parte de los detectores de esquinas, que aparecen en la literatura, están basados en el uso del código de cadena de Freeman de ocho símbolos, el cual es usado para representar los contornos de las formas. En este trabajo presentamos un nuevo método para detectar esquinas basado en una representación de código de cadena de únicamente tres símbolos, lo que requiere menor consumo de almacenamiento en memoria y permite, de manera sencilla, obtener esquinas en los contornos de las formas de los objetos. Dicho método lo comparamos con cinco métodos altamente citados en la literatura, dando nuestro método un mejor desempeño. Más aún, con el propósito de reconstruir las formas originales a través de aproximaciones poligonales, hemos propuesto un parámetro de error para cuantificar la eficiencia de cada detector, el cual se logra al analizar la redundancia de puntos que aparecen al tratar de localizar las esquinas, así como de establecer una diferencia entre la región original de la forma y la debida a la aproximación poligonal.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Binary objects]]></kwd>
<kwd lng="en"><![CDATA[corner detection]]></kwd>
<kwd lng="en"><![CDATA[pattern strings]]></kwd>
<kwd lng="en"><![CDATA[polygonal approximation]]></kwd>
<kwd lng="en"><![CDATA[3OT chain code]]></kwd>
<kwd lng="es"><![CDATA[Objetos binarios]]></kwd>
<kwd lng="es"><![CDATA[detección de esquinas]]></kwd>
<kwd lng="es"><![CDATA[patrones de cadenas]]></kwd>
<kwd lng="es"><![CDATA[aproximación poligonal]]></kwd>
<kwd lng="es"><![CDATA[código 3OT]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[  	    <p align="center"><font face="verdana" size="4"><b>Polygonal Approximation of Contour Shapes Using Corner Detectors</b></font></p>  	    <p align="center"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="center"><font face="verdana" size="2"><b>Hermilo S&aacute;nchez&#150;Cruz*<sup>1</sup>; Ernesto Bribiesca<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"><i><sup>1</sup> Departamento de Ciencias de la Computaci&oacute;n. Centro de Ciencias B&aacute;sicas. Universidad Aut&oacute;noma de Aguascalientes, Aguascalientes,M&eacute;xico.</i> * <a href="mailto:hsanchez@correo.uaa.mx">hsanchez@correo.uaa.mx</a></font></p>  	    <p align="justify"><font face="verdana" size="2"><i><sup>2</sup> Departamento de Ciencias de la Computaci&oacute;n. Instituto de Investigaciones en Matem&aacute;ticas Aplicadas y en Sistemas. Universidad Nacional Aut&oacute;noma de M&eacute;xico. D.F., M&eacute;xico.</i></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">A great amount of corner detectors that appear in literature are based on using the Freeman chain code of eight directions, which is used to represent contour shapes. We propose a new method for corner detection based on a three&#150;symbol chain code representation, which requires lower storage memory and an easy way to obtain shape corners. We compare it with five existing methods, which are well known in the literature, giving our method a better performance. Furthermore, in order to reconstruct the original shapes through polygonal approximations, we propose an error parameter to quantify the efficiency. This can be accomplished by considering the redundancy of points produced when looking for corners and when computing the difference between the original region and the approximated polygon.</font></p>  	    ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2"><b>Keywords:</b> Binary objects, corner detection, pattern strings, polygonal approximation, 3OT chain code.</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">Gran parte de los detectores de esquinas, que aparecen en la literatura, est&aacute;n basados en el uso del c&oacute;digo de cadena de Freeman de ocho s&iacute;mbolos, el cual es usado para representar los contornos de las formas. En este trabajo presentamos un nuevo m&eacute;todo para detectar esquinas basado en una representaci&oacute;n de c&oacute;digo de cadena de &uacute;nicamente tres s&iacute;mbolos, lo que requiere menor consumo de almacenamiento en memoria y permite, de manera sencilla, obtener esquinas en los contornos de las formas de los objetos. Dicho m&eacute;todo lo comparamos con cinco m&eacute;todos altamente citados en la literatura, dando nuestro m&eacute;todo un mejor desempe&ntilde;o. M&aacute;s a&uacute;n, con el prop&oacute;sito de reconstruir las formas originales a trav&eacute;s de aproximaciones poligonales, hemos propuesto un par&aacute;metro de error para cuantificar la eficiencia de cada detector, el cual se logra al analizar la redundancia de puntos que aparecen al tratar de localizar las esquinas, as&iacute; como de establecer una diferencia entre la regi&oacute;n original de la forma y la debida a la aproximaci&oacute;n poligonal.</font></p>  	    <p align="justify"><font face="verdana" size="2"><b>Palabras clave:</b> Objetos binarios, detecci&oacute;n de esquinas, patrones de cadenas, aproximaci&oacute;n poligonal, c&oacute;digo 3OT.</font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><a href="/pdf/jart/v7n3/v7n3a3.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><i>References</i></b></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;1&#93;&nbsp;F. 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