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   <ui>1687-5281-2008-542378</ui>
   <ji>1687-5281</ji>
   <fm>
      <dochead>Research Article</dochead>
      <bibl>
         <title>
            <p>Fuzzy Mode Enhancement and Detection for Color Image Segmentation</p>
         </title>
         <aug>
            <au id="A1" ca="yes"><snm>Losson</snm><fnm>Olivier</fnm><insr iid="I1"/><email>olivier.losson@univ-lille.fr</email></au>
            <au id="A2"><snm>Botte-Lecocq</snm><fnm>Claudine</fnm><insr iid="I1"/><email>claudine.lecocq@univ-lille1.fr</email></au>
            <au id="A3"><snm>Macaire</snm><fnm>Ludovic</fnm><insr iid="I1"/><email>ludovic.macaire@univ-lille1.fr</email></au>
         </aug>
         <insg>
            <ins id="I1"><p>Laboratoire LAGIS (CNRS UMR 8146), Universit&#233; des Sciences et Technologies de Lille, B&#226;timent P2, Cit&#233; Scientifique, 59655 Villeneuve d'Ascq C&#233;dex, France</p></ins>
         </insg>
         <source>EURASIP Journal on Image and Video Processing</source>
         <issn>1687-5281</issn>
         <pubdate>2008</pubdate>
         <volume>2008</volume>
         <issue>1</issue>
         <fpage>542378</fpage>
         <url>http://jivp.eurasipjournals.com/content/2008/1/542378</url>
         <xrefbib><pubid idtype="doi">10.1155/2008/542378</pubid></xrefbib>
      </bibl>
      <history><rec><date><day>20</day><month>7</month><year>2007</year></date></rec><revrec><date><day>30</day><month>11</month><year>2007</year></date></revrec><acc><date><day>27</day><month>1</month><year>2008</year></date></acc><pub><date><day>17</day><month>2</month><year>2008</year></date></pub></history>
      <cpyrt><year>2008</year><collab>The Author(s).</collab><note>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note></cpyrt>
      <abs>
         <sec>
            <st>
               <p>Abstract</p>
            </st>
            <p>This work lies within the scope of color image segmentation by pixel classification. The classes of pixels are constructed by detecting the modes of the spatial-color compactness function, which characterizes the image by taking into account both the distribution of colors in the color space and their spatial location in the image plane. A fuzzy transformation of this function is performed, based on fuzzy morphological operators specifically designed for mode detection. Experimental segmentation results, using several synthetic and benchmark images, show the interest of the proposed method.</p>
         </sec>
      </abs>
   </fm>
   <meta><classifications><classification id="CIVP" subtype="theme_series_title" type="BMC">Color in Image and Video Processing</classification><classification id="CIVP" subtype="theme_series_editor" type="BMC"/></classifications></meta><bdy>
      <sec>
         <st>
            <p>Publisher note</p>
         </st>
         <p>To access the full article, please see PDF.</p>
      </sec>
   </bdy>
</art>