<?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>2304-0106</journal-id>
<journal-title><![CDATA[Anales de la Academia de Ciencias de Cuba]]></journal-title>
<abbrev-journal-title><![CDATA[Anales de la ACC]]></abbrev-journal-title>
<issn>2304-0106</issn>
<publisher>
<publisher-name><![CDATA[Academia de Ciencias de Cuba]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2304-01062023000100009</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Algoritmos autóctonos para la segmentación digital de imágenes]]></article-title>
<article-title xml:lang="en"><![CDATA[Autochthonous algorithms for digital image segmentation]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez Morales]]></surname>
<given-names><![CDATA[Roberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Garcés Suárez]]></surname>
<given-names><![CDATA[Yasel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Torres García]]></surname>
<given-names><![CDATA[Esley]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sossa Azuela]]></surname>
<given-names><![CDATA[Juan Humberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto de Cibernética, Matemática y Física  ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma del Estado de Morelos Centro de Investigación en Ciencia Instituto de Investigaciones en Ciencias Básicas y Aplicadas]]></institution>
<addr-line><![CDATA[ Morelos]]></addr-line>
<country>México</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto Politécnico Nacional Centro de Investigación en Computación ]]></institution>
<addr-line><![CDATA[ Ciudad de México]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2023</year>
</pub-date>
<volume>13</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2304-01062023000100009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2304-01062023000100009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2304-01062023000100009&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción: La segmentación es un proceso fundamental que divide un espacio de datos en regiones salientes significativas. La segmentación afecta esencialmente el rendimiento general de cualquier sistema automatizado de análisis de imágenes, por lo tanto, lograr su calidad es de suma importancia. El poder desarrollar estrategias eficientes y con buen desempeño ha determinado el rendimiento excelente de un sistema de inteligencia artificial. El objetivo fundamental del presente trabajo fue la obtención de un conjunto de algoritmos capaces de alcanzar óptima calidad en la segmentación de imágenes y en particular en las imágenes biomédicas, las cuales por la física de formación presentan características muy particulares.  Métodos: Se utilizó un método de investigación experimental al emplear imágenes reales y no simuladas (a través de computadoras), lo cual garantizó que los algoritmos desarrollados tuvieran presente la física de formación de las mismas y el modo de captación. Todas las imágenes biomédicas usadas fueron obtenidas de bases de datos de centros asistenciales cubanos y de fuentes internacionales estandarizadas. Además, los algoritmos desarrollados fueron puestos a punto a través del método de investigación cuantitativo-cualitativo, seleccionándose como criterios verdaderos las imágenes delineadas y evaluaciones realizadas por los especialistas.  Resultados y discusión: Los resultados obtenidos con las estrategias desarrolladas evidenciaron la efectividad y el buen desempeño de ellas, cumpliendo con el objetivo de lograr una óptima segmentación. Se distinguió de forma clara los objetos o patrones que los especialistas necesitaban acentuar. Esto permitió poder llevar a cabo un posterior análisis, más sencillo de las patologías asociadas a esas bioimágenes. En conclusión, los algoritmos propuestos son originales (autóctonos) y cumplen con el objetivo de lograr una óptima segmentación, donde uno puede distinguir de forma clara y precisa los patrones que necesitan destacar los especialistas para el posterior análisis de las imágenes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction: Segmentation is a fundamental process that partitions a data space into meaningful salient regions. Image segmentation essentially affects the overall performance of any automated image analysis system; thus, its quality is of the utmost importance. This is a complex process with a non-exact solution and is considered an open problem, where algorithmic development has been the backbone throughout its history. Achieving efficient and well-performing strategies determines the excellent performance of an artificial intelligence system. For this reason, the fundamental objective of this work was to obtain a set of algorithms capable of achieving optimal quality in the segmentation of images, and in particular in biomedical images, which by the physics of image formation have very particular characteristics.  Methods: In this work, an experimental research method was used by using real images, and not simulated (through computers), which guaranteed that the developed algorithms took into account the physics of their formation and the capture mode. Therefore, all the used biomedical images were obtained from databases of Cuban healthcare centers, and from standardized international sources. In addition, the developed algorithms were fine-tuned through the quantitative-qualitative research method, selecting as true criteria the images outlined and evaluations carried out by the specialists.  Results and discussion: The results obtained with the developed strategies, according to the specialists, evidenced their effectiveness and good performance, where it should be noted that all were original ideas (autochthonous) that met the aim of achieving optimal segmentation, being able to distinguish clearly and precisely the objects or patterns that the specialists needed to accentuate. This made it possible to carry out a subsequent, simpler analysis of the pathologies associated with these bioimages. It is concluded that the proposed algorithms are original (autochthonous) and meet the aim of achieving optimal segmentation, where one can clearly and accurately distinguish the patterns that specialists need to highlight for the subsequent analysis of images.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[segmentación]]></kwd>
<kwd lng="es"><![CDATA[algoritmos]]></kwd>
<kwd lng="es"><![CDATA[análisis cuantitativo-cualitativo]]></kwd>
<kwd lng="es"><![CDATA[imágenes biomédicas]]></kwd>
<kwd lng="en"><![CDATA[segmentation]]></kwd>
<kwd lng="en"><![CDATA[algorithms]]></kwd>
<kwd lng="en"><![CDATA[quantitative-qualitative analysis]]></kwd>
<kwd lng="en"><![CDATA[biomedical images]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vicent]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Soille]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Watersheds in digital spaces An efficient algorithm based on immersion simulations. IEEE Transact. Pattern Anal]]></article-title>
<source><![CDATA[Machine Intell]]></source>
<year>1991</year>
<volume>13</volume>
<page-range>583-93</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cheriet]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Said]]></surname>
<given-names><![CDATA[JN]]></given-names>
</name>
<name>
<surname><![CDATA[Suen]]></surname>
<given-names><![CDATA[CY]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Recursive Thresholding Technique for Image Segmentation]]></article-title>
<source><![CDATA[IEEE Transactions on Image Processing]]></source>
<year>1998</year>
<volume>7</volume>
<numero>6</numero>
<issue>6</issue>
</nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chenyang Dzung]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Jerry]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Image Segmentation Using Deformable Models, SPIE Handbook on Medical Imaging, Medical Image Analysis, Edited by J M. Fitzpatrick an d M]]></article-title>
<source><![CDATA[Sonka,]]></source>
<year>2000</year>
<volume>3</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>129-74</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Comaniciu]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Meer]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Mean Shift: A Robust Approach toward Feature Space Analysis]]></article-title>
<source><![CDATA[IEEE Transaction on Pattern Analysis and Machine Intelligence]]></source>
<year>2002</year>
<volume>24</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Comaniciu]]></surname>
<given-names><![CDATA[DI]]></given-names>
</name>
</person-group>
<source><![CDATA[Nonparametric Robust Method for Computer Vision. Ph.D]]></source>
<year>2000</year>
<publisher-loc><![CDATA[New Brunswick, Rutgers ]]></publisher-loc>
<publisher-name><![CDATA[The State University of New Jersey]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fukunaga]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Hostetler]]></surname>
<given-names><![CDATA[LD]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The Estimation of the Gradient of a Density Function IEEE Trans]]></article-title>
<source><![CDATA[Information Theory]]></source>
<year>1975</year>
<volume>21</volume>
<page-range>32-40</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cheng]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Mean Shift, Mode Seeking, and Clustering, IEEE Trans]]></article-title>
<source><![CDATA[Pattern Analysis and Machine Intelligence]]></source>
<year>1995</year>
<volume>17</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>790-9</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Fritts]]></surname>
<given-names><![CDATA[JE]]></given-names>
</name>
<name>
<surname><![CDATA[Goldman]]></surname>
<given-names><![CDATA[SA]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Entropy-based Objective Evaluation Method for Image Segmentation]]></article-title>
<source><![CDATA[Storage and Retrieval Methods and Applications for Multimedia 2004]]></source>
<year>2003</year>
<volume>5307</volume>
<page-range>38-49</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="book">
<collab>University of Southern California</collab>
<source><![CDATA[Signal and image processing institute]]></source>
<year></year>
<publisher-name><![CDATA[USC]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Sossa]]></surname>
<given-names><![CDATA[JH]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Mathematical Techniques for Biomedical Image Segmentation]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Narayan]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<source><![CDATA[Encyclopedia of Biomedical Engineering]]></source>
<year>2019</year>
<volume>3</volume>
<page-range>64-78</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Domínguez]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<source><![CDATA[Image Segmentation: Advances]]></source>
<year>2016</year>
<publisher-loc><![CDATA[Estados Unidos ]]></publisher-loc>
<publisher-name><![CDATA[Magnum Publishing LLC]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Sossa]]></surname>
<given-names><![CDATA[JH]]></given-names>
</name>
</person-group>
<source><![CDATA[Procesamiento y Análisis Digital de Imágenes]]></source>
<year>2011</year>
<publisher-loc><![CDATA[España ]]></publisher-loc>
<publisher-name><![CDATA[Ra-Ma(r)]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Domínguez]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Sossa]]></surname>
<given-names><![CDATA[JH]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Image Segmentation through an Iterative Algorithm of the Mean Shift]]></article-title>
<source><![CDATA[Advances in Image Segmentation]]></source>
<year>2012</year>
<publisher-name><![CDATA[InTech]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Sossa]]></surname>
<given-names><![CDATA[JH]]></given-names>
</name>
<name>
<surname><![CDATA[Garcés]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A new stopping criterion for the mean shift iterative algorithm. Its use in image segmentation]]></article-title>
<source><![CDATA[International Journal of Imaging and Robotics]]></source>
<year>2017</year>
<volume>17</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Garcés]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Pereira]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Behavior of Entropy in a Digital Image through an Iterative Algorithm of the Mean Shift Filtering]]></article-title>
<source><![CDATA[International Journal of Soft Computing, Mathematics and Control (IJSCMC)]]></source>
<year>2015</year>
<volume>4</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Sossa]]></surname>
<given-names><![CDATA[JH]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Image Segmentation via an Iterative Algorithm of the Mean Shift Filtering for Different Values of the Stopping Threshold]]></article-title>
<source><![CDATA[International Journal of Imaging and Robotics]]></source>
<year>2012</year>
<volume>7</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Robust Algorithm for Binarization of Objects]]></article-title>
<source><![CDATA[Journal of Latin American Applied Research (ISI)]]></source>
<year>2010</year>
<volume>40</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>7-13</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Sosa]]></surname>
<given-names><![CDATA[JC]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Importance of the Use of the Parametric Logarithm in a No-supervised Strategy for Image Binarization]]></article-title>
<source><![CDATA[IEEE Latin America Transactions]]></source>
<year>2016</year>
<volume>14</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Segmentation Methods for Biomedical Images]]></article-title>
<source><![CDATA[Image Segmentation]]></source>
<year>2011</year>
<publisher-name><![CDATA[InTech]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Robust Methods of Segmentation for Biomedical Images]]></article-title>
<source><![CDATA[Watersheds: Management, Restoration and Environmental Impact. Nova: Series: Environmental Science, Engineering and Technology]]></source>
<year>2011</year>
</nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Garcés]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Pereira]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Edge Detection in Segmented Images through Mean Shift Iterative Gradient using Ring Theory]]></article-title>
<source><![CDATA[International Journal of Soft Computing, Mathematics and Control (IJSCMC)]]></source>
<year>2015</year>
<volume>4</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Garcés]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Pereira]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[New Similarity Index for images based on Entropy and Group Theory]]></article-title>
<source><![CDATA[IEEE Latin American Transaction]]></source>
<year>2015</year>
<volume>13</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Garcés]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Pereira]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Application of the Ring Theory in the Segmentation of Digital Images]]></article-title>
<source><![CDATA[International Journal of Soft Computing, Mathematics and Control (IJSCMC)]]></source>
<year>2014</year>
<volume>3</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B24">
<label>24</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Garcés]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Pereira]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<source><![CDATA[Stopping Criterion for the Mean Shift Iterative Algorithm]]></source>
<year>2013</year>
<page-range>383-90</page-range><publisher-loc><![CDATA[Berlin Heidelberg ]]></publisher-loc>
<publisher-name><![CDATA[CIARP]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B25">
<label>25</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Tovar]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An Unsupervised Strategy for Bio-medical Image Segmentation]]></article-title>
<source><![CDATA[Journal of Advanced and Applications in Bioinformatics and Chemistry (PubMed)]]></source>
<year>2010</year>
<volume>3</volume>
<page-range>67-73</page-range></nlm-citation>
</ref>
<ref id="B26">
<label>26</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Domínguez]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Convergence of the Mean Shift using /norm in image segmentation]]></article-title>
<source><![CDATA[International Journal of Pattern Recognition Research]]></source>
<year>2011</year>
<volume>1</volume>
<page-range>32-42</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
