The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms
Identifieur interne : 000450 ( Istex/Corpus ); précédent : 000449; suivant : 000451The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms
Auteurs : James S. Cope ; Paolo Remagnino ; Sarah Barman ; Paul WilkinSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: Leaf venation is an important source of data for research in comparative plant biology. This paper presents a method for evolving classifiers capable of extracting the venation from leaf images. Quantitative and qualitative analysis of the classifier produced is carried out. The results show that the method is capable of the extraction of near complete primary and secondary venations with relatively little noise. For comparison, a method using ant colony algorithms is also discussed.
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DOI: 10.1007/978-3-642-17688-3_14
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Cope</name><affiliation><mods:affiliation>Digital Imaging Research Centre, Kingston University, London, UK</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: j.cope@kingston.ac.uk</mods:affiliation></affiliation></author><author><name sortKey="Remagnino, Paolo" sort="Remagnino, Paolo" uniqKey="Remagnino P" first="Paolo" last="Remagnino">Paolo Remagnino</name><affiliation><mods:affiliation>Digital Imaging Research Centre, Kingston University, London, UK</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: p.remagnino@kingston.ac.uk</mods:affiliation></affiliation></author><author><name sortKey="Barman, Sarah" sort="Barman, Sarah" uniqKey="Barman S" first="Sarah" last="Barman">Sarah Barman</name><affiliation><mods:affiliation>Digital Imaging Research Centre, Kingston University, London, UK</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: s.barman@kingston.ac.uk</mods:affiliation></affiliation></author><author><name sortKey="Wilkin, Paul" sort="Wilkin, Paul" uniqKey="Wilkin P" first="Paul" last="Wilkin">Paul Wilkin</name><affiliation><mods:affiliation>Royal Botanic Gardens, Kew, London, UK</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: p.wilkin@kew.org</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:BADB99418AE1BF5C8F90FAA23CE81A51479138CC</idno><date when="2010" year="2010">2010</date><idno type="doi">10.1007/978-3-642-17688-3_14</idno><idno type="url">https://api.istex.fr/document/BADB99418AE1BF5C8F90FAA23CE81A51479138CC/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000450</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000450</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms</title><author><name sortKey="Cope, James S" sort="Cope, James S" uniqKey="Cope J" first="James S." last="Cope">James S. Cope</name><affiliation><mods:affiliation>Digital Imaging Research Centre, Kingston University, London, UK</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: j.cope@kingston.ac.uk</mods:affiliation></affiliation></author><author><name sortKey="Remagnino, Paolo" sort="Remagnino, Paolo" uniqKey="Remagnino P" first="Paolo" last="Remagnino">Paolo Remagnino</name><affiliation><mods:affiliation>Digital Imaging Research Centre, Kingston University, London, UK</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: p.remagnino@kingston.ac.uk</mods:affiliation></affiliation></author><author><name sortKey="Barman, Sarah" sort="Barman, Sarah" uniqKey="Barman S" first="Sarah" last="Barman">Sarah Barman</name><affiliation><mods:affiliation>Digital Imaging Research Centre, Kingston University, London, UK</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: s.barman@kingston.ac.uk</mods:affiliation></affiliation></author><author><name sortKey="Wilkin, Paul" sort="Wilkin, Paul" uniqKey="Wilkin P" first="Paul" last="Wilkin">Paul Wilkin</name><affiliation><mods:affiliation>Royal Botanic Gardens, Kew, London, UK</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: p.wilkin@kew.org</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2010</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">BADB99418AE1BF5C8F90FAA23CE81A51479138CC</idno><idno type="DOI">10.1007/978-3-642-17688-3_14</idno><idno type="ChapterID">14</idno><idno type="ChapterID">Chap14</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Leaf venation is an important source of data for research in comparative plant biology. This paper presents a method for evolving classifiers capable of extracting the venation from leaf images. Quantitative and qualitative analysis of the classifier produced is carried out. The results show that the method is capable of the extraction of near complete primary and secondary venations with relatively little noise. For comparison, a method using ant colony algorithms is also discussed.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>James S. Cope</name><affiliations><json:string>Digital Imaging Research Centre, Kingston University, London, UK</json:string><json:string>E-mail: j.cope@kingston.ac.uk</json:string></affiliations></json:item><json:item><name>Paolo Remagnino</name><affiliations><json:string>Digital Imaging Research Centre, Kingston University, London, UK</json:string><json:string>E-mail: p.remagnino@kingston.ac.uk</json:string></affiliations></json:item><json:item><name>Sarah Barman</name><affiliations><json:string>Digital Imaging Research Centre, Kingston University, London, UK</json:string><json:string>E-mail: s.barman@kingston.ac.uk</json:string></affiliations></json:item><json:item><name>Paul Wilkin</name><affiliations><json:string>Royal Botanic Gardens, Kew, London, UK</json:string><json:string>E-mail: p.wilkin@kew.org</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: Leaf venation is an important source of data for research in comparative plant biology. This paper presents a method for evolving classifiers capable of extracting the venation from leaf images. Quantitative and qualitative analysis of the classifier produced is carried out. The results show that the method is capable of the extraction of near complete primary and secondary venations with relatively little noise. For comparison, a method using ant colony algorithms is also discussed.</abstract><qualityIndicators><score>5.34</score><pdfVersion>1.6</pdfVersion><pdfPageSize>429.725 x 659.895 pts</pdfPageSize><refBibsNative>false</refBibsNative><keywordCount>0</keywordCount><abstractCharCount>498</abstractCharCount><pdfWordCount>2940</pdfWordCount><pdfCharCount>16371</pdfCharCount><pdfPageCount>10</pdfPageCount><abstractWordCount>75</abstractWordCount></qualityIndicators><title>The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms</title><chapterId><json:string>14</json:string><json:string>Chap14</json:string></chapterId><refBibs><json:item><author><json:item><name>J Clarke</name></json:item><json:item><name>S Barman</name></json:item><json:item><name>P Remagnino</name></json:item><json:item><name>K Bailey</name></json:item><json:item><name>D Kirkup</name></json:item><json:item><name>S Mayo</name></json:item><json:item><name>P,G Wilkin</name></json:item><json:item><name>R Boyle</name></json:item><json:item><name>B Parvin</name></json:item><json:item><name>D Koracin</name></json:item><json:item><name>P Remagnino</name></json:item><json:item><name>A Nefian</name></json:item><json:item><name>G Meenakshisundaram</name></json:item><json:item><name>V Pascucci</name></json:item></author><host><pages><last>436</last><first>427</first></pages><author></author><title>ISVC 2006</title><publicationDate>2006</publicationDate></host><title>Venation pattern analysis of leaf images</title><publicationDate>2006</publicationDate></json:item><json:item><author><json:item><name>P Comon</name></json:item></author><host><volume>36</volume><pages><last>314</last><first>287</first></pages><issue>3</issue><author></author><title>Signal Processing</title><publicationDate>1994</publicationDate></host><title>Independent component analysis, a new concept?</title><publicationDate>1994</publicationDate></json:item><json:item><host><author><json:item><name>B Ellis</name></json:item><json:item><name>D,C Daly</name></json:item><json:item><name>L,J Hickey</name></json:item><json:item><name>K,R Johnson</name></json:item><json:item><name>J,D Mitchell</name></json:item><json:item><name>P Wilf</name></json:item><json:item><name>S,L Wing</name></json:item></author><title>Manual Of Leaf Architecture</title><publicationDate>2009</publicationDate></host></json:item><json:item><author><json:item><name>H Fu</name></json:item><json:item><name>Z Chi</name></json:item></author><host><pages><last>892</last><first>881</first></pages><author></author><title>IEE Proceedings. 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Pandu Rangan</name><affiliations><json:string>Indian Institute of Technology, Madras, India</json:string></affiliations></json:item><json:item><name>Bernhard Steffen</name><affiliations><json:string>University of Dortmund, Dortmund, Germany</json:string></affiliations></json:item><json:item><name>Madhu Sudan</name><affiliations><json:string>Massachusetts Institute of Technology, MA, USA</json:string></affiliations></json:item><json:item><name>Demetri Terzopoulos</name><affiliations><json:string>University of California, Los Angeles, CA, USA</json:string></affiliations></json:item><json:item><name>Doug Tygar</name><affiliations><json:string>University of California, Berkeley, CA, USA</json:string></affiliations></json:item><json:item><name>Moshe Y. Vardi</name><affiliations><json:string>Rice University, Houston, TX, USA</json:string></affiliations></json:item><json:item><name>Gerhard Weikum</name><affiliations><json:string>Max-Planck Institute of Computer Science, Saarbrücken, Germany</json:string></affiliations></json:item></editor><issn><json:string>0302-9743</json:string></issn><language><json:string>unknown</json:string></language><eissn><json:string>1611-3349</json:string></eissn><title>Lecture Notes in Computer Science</title><copyrightDate>2010</copyrightDate></serie><host><editor><json:item><name>Jacques Blanc-Talon</name><affiliations><json:string>DGA/D4S/MRIS, CEP/GIP, 16 bis avenue Prieur de la côte d’or, 94114, Arcueil, France</json:string><json:string>E-mail: jacques.blanc-talon@dga.defense.gouv.fr</json:string></affiliations></json:item><json:item><name>Don Bone</name><affiliations><json:string>Canon Information Systems Research Australia, Sydney, Australia</json:string><json:string>E-mail: don.bone@cisra.canon.com.au</json:string></affiliations></json:item><json:item><name>Wilfried Philips</name><affiliations><json:string>Telecommunications and Information processing (TELIN), Ghent University, St.-Pietersnieuwstraat 41, B9000, Ghent, Belgium</json:string><json:string>E-mail: philips@telin.UGent.be</json:string></affiliations></json:item><json:item><name>Dan Popescu</name><affiliations><json:string>CSIRO ICT Centre, ICT Centre, Po Box 76, NSW 1710, Epping, Sydney, Australia</json:string><json:string>E-mail: dan.popescu@csiro.au</json:string></affiliations></json:item><json:item><name>Paul Scheunders</name><affiliations><json:string>Physics, University of Antwerp, Universiteitsplein 1; Building N. 2610, Wilrijk, Belgium</json:string><json:string>E-mail: Paul.Scheunders@ua.ac.be</json:string></affiliations></json:item></editor><subject><json:item><value>Computer Science</value></json:item><json:item><value>Computer Science</value></json:item><json:item><value>Image Processing and Computer Vision</value></json:item><json:item><value>Artificial Intelligence (incl. Robotics)</value></json:item><json:item><value>Pattern Recognition</value></json:item><json:item><value>Computer Graphics</value></json:item><json:item><value>Computer Communication Networks</value></json:item><json:item><value>Algorithm Analysis and Problem Complexity</value></json:item></subject><isbn><json:string>978-3-642-17687-6</json:string></isbn><language><json:string>unknown</json:string></language><eissn><json:string>1611-3349</json:string></eissn><title>Advanced Concepts for Intelligent Vision 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xml:id="author-1"><persName><forename type="first">James</forename><surname>Cope</surname></persName><email>j.cope@kingston.ac.uk</email><affiliation>Digital Imaging Research Centre, Kingston University, London, UK</affiliation></author><author xml:id="author-2"><persName><forename type="first">Paolo</forename><surname>Remagnino</surname></persName><email>p.remagnino@kingston.ac.uk</email><affiliation>Digital Imaging Research Centre, Kingston University, London, UK</affiliation></author><author xml:id="author-3"><persName><forename type="first">Sarah</forename><surname>Barman</surname></persName><email>s.barman@kingston.ac.uk</email><affiliation>Digital Imaging Research Centre, Kingston University, London, UK</affiliation></author><author xml:id="author-4"><persName><forename type="first">Paul</forename><surname>Wilkin</surname></persName><email>p.wilkin@kew.org</email><affiliation>Royal Botanic Gardens, Kew, London, UK</affiliation></author></analytic><monogr><title level="m">Advanced 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type="first">Don</forename><surname>Bone</surname></persName><email>don.bone@cisra.canon.com.au</email><affiliation>Canon Information Systems Research Australia, Sydney, Australia</affiliation></editor><editor><persName><forename type="first">Wilfried</forename><surname>Philips</surname></persName><email>philips@telin.UGent.be</email><affiliation>Telecommunications and Information processing (TELIN), Ghent University, St.-Pietersnieuwstraat 41, B9000, Ghent, Belgium</affiliation></editor><editor><persName><forename type="first">Dan</forename><surname>Popescu</surname></persName><email>dan.popescu@csiro.au</email><affiliation>CSIRO ICT Centre, ICT Centre, Po Box 76, NSW 1710, Epping, Sydney, Australia</affiliation></editor><editor><persName><forename type="first">Paul</forename><surname>Scheunders</surname></persName><email>Paul.Scheunders@ua.ac.be</email><affiliation>Physics, University of Antwerp, Universiteitsplein 1; Building N. 2610, Wilrijk, Belgium</affiliation></editor><imprint><publisher>Springer Berlin Heidelberg</publisher><pubPlace>Berlin, Heidelberg</pubPlace><date type="published" when="2010"></date><biblScope unit="volume">6474</biblScope><biblScope unit="page" from="135">135</biblScope><biblScope unit="page" to="144">144</biblScope></imprint></monogr><series><title level="s">Lecture Notes in Computer Science</title><editor><persName><forename type="first">David</forename><surname>Hutchison</surname></persName><affiliation>Lancaster University, Lancaster, UK</affiliation></editor><editor><persName><forename type="first">Takeo</forename><surname>Kanade</surname></persName><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation></editor><editor><persName><forename type="first">Josef</forename><surname>Kittler</surname></persName><affiliation>University of Surrey, Guildford, UK</affiliation></editor><editor><persName><forename type="first">Jon</forename><forename type="first">M.</forename><surname>Kleinberg</surname></persName><affiliation>Cornell University, Ithaca, NY, USA</affiliation></editor><editor><persName><forename type="first">Friedemann</forename><surname>Mattern</surname></persName><affiliation>ETH Zurich, Zurich, Switzerland</affiliation></editor><editor><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName><affiliation>Stanford University, Stanford, CA, USA</affiliation></editor><editor><persName><forename type="first">Moni</forename><surname>Naor</surname></persName><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation></editor><editor><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Bern, Bern, Switzerland</affiliation></editor><editor><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation>Indian Institute of Technology, Madras, India</affiliation></editor><editor><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation>University of Dortmund, Dortmund, Germany</affiliation></editor><editor><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation></editor><editor><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation>University of California, Los Angeles, CA, USA</affiliation></editor><editor><persName><forename type="first">Doug</forename><surname>Tygar</surname></persName><affiliation>University of California, Berkeley, CA, USA</affiliation></editor><editor><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation></editor><biblScope><date>2010</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="series-Id">558</idno></series><idno type="istex">BADB99418AE1BF5C8F90FAA23CE81A51479138CC</idno><idno type="DOI">10.1007/978-3-642-17688-3_14</idno><idno type="ChapterID">14</idno><idno type="ChapterID">Chap14</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2010</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: Leaf venation is an important source of data for research in comparative plant biology. This paper presents a method for evolving classifiers capable of extracting the venation from leaf images. Quantitative and qualitative analysis of the classifier produced is carried out. The results show that the method is capable of the extraction of near complete primary and secondary venations with relatively little noise. For comparison, a method using ant colony algorithms is also discussed.</p></abstract><textClass><keywords scheme="Book-Subject-Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book-Subject-Group"><list><label>I</label><label>I22021</label><label>I21017</label><label>I2203X</label><label>I22013</label><label>I13022</label><label>I16021</label><item><term>Computer Science</term></item><item><term>Image Processing and Computer Vision</term></item><item><term>Artificial Intelligence (incl. 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DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></EditorName></Editor><Affiliation ID="Aff1"><OrgName>Lancaster University</OrgName><OrgAddress><City>Lancaster</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><City>Zurich</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford 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Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-17688-3</BookID><BookTitle>Advanced Concepts for Intelligent Vision Systems</BookTitle><BookSubTitle>12th International Conference, ACIVS 2010, Sydney, Australia, December 13-16, 2010, Proceedings, Part I</BookSubTitle><BookVolumeNumber>6474</BookVolumeNumber><BookSequenceNumber>6474</BookSequenceNumber><BookDOI>10.1007/978-3-642-17688-3</BookDOI><BookTitleID>215532</BookTitleID><BookPrintISBN>978-3-642-17687-6</BookPrintISBN><BookElectronicISBN>978-3-642-17688-3</BookElectronicISBN><BookChapterCount>44</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I22021" Priority="1" Type="Secondary">Image Processing and Computer Vision</BookSubject><BookSubject Code="I21017" Priority="2" Type="Secondary">Artificial Intelligence (incl. 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Building N. 2610</Street><City>Wilrijk</City><Country>Belgium</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part2"><PartInfo TocLevels="0"><PartID>2</PartID><PartSequenceNumber>2</PartSequenceNumber><PartTitle>Segmentation and Edge Detection</PartTitle><PartChapterCount>13</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advanced Concepts for Intelligent Vision Systems</BookTitle></PartContext></PartInfo><Chapter ID="Chap14" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>14</ChapterID><ChapterDOI>10.1007/978-3-642-17688-3_14</ChapterDOI><ChapterSequenceNumber>14</ChapterSequenceNumber><ChapterTitle Language="En">The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms</ChapterTitle><ChapterFirstPage>135</ChapterFirstPage><ChapterLastPage>144</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>2</PartID><BookID>978-3-642-17688-3</BookID><BookTitle>Advanced Concepts for Intelligent Vision Systems</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>James</GivenName><GivenName>S.</GivenName><FamilyName>Cope</FamilyName></AuthorName><Contact><Email>j.cope@kingston.ac.uk</Email></Contact></Author><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Paolo</GivenName><FamilyName>Remagnino</FamilyName></AuthorName><Contact><Email>p.remagnino@kingston.ac.uk</Email></Contact></Author><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Sarah</GivenName><FamilyName>Barman</FamilyName></AuthorName><Contact><Email>s.barman@kingston.ac.uk</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Paul</GivenName><FamilyName>Wilkin</FamilyName></AuthorName><Contact><Email>p.wilkin@kew.org</Email></Contact></Author><Affiliation ID="Aff21"><OrgDivision>Digital Imaging Research Centre</OrgDivision><OrgName>Kingston University</OrgName><OrgAddress><City>London</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff22"><OrgName>Royal Botanic Gardens, Kew</OrgName><OrgAddress><City>London</City><Country>UK</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Leaf venation is an important source of data for research in comparative plant biology. This paper presents a method for evolving classifiers capable of extracting the venation from leaf images. Quantitative and qualitative analysis of the classifier produced is carried out. The results show that the method is capable of the extraction of near complete primary and secondary venations with relatively little noise. For comparison, a method using ant colony algorithms is also discussed.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms</title></titleInfo><name type="personal"><namePart type="given">James</namePart><namePart type="given">S.</namePart><namePart type="family">Cope</namePart><affiliation>Digital Imaging Research Centre, Kingston University, London, UK</affiliation><affiliation>E-mail: j.cope@kingston.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Paolo</namePart><namePart type="family">Remagnino</namePart><affiliation>Digital Imaging Research Centre, Kingston University, London, UK</affiliation><affiliation>E-mail: p.remagnino@kingston.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Sarah</namePart><namePart type="family">Barman</namePart><affiliation>Digital Imaging Research Centre, Kingston University, London, UK</affiliation><affiliation>E-mail: s.barman@kingston.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Paul</namePart><namePart type="family">Wilkin</namePart><affiliation>Royal Botanic Gardens, Kew, London, UK</affiliation><affiliation>E-mail: p.wilkin@kew.org</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2010</dateIssued><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: Leaf venation is an important source of data for research in comparative plant biology. This paper presents a method for evolving classifiers capable of extracting the venation from leaf images. Quantitative and qualitative analysis of the classifier produced is carried out. The results show that the method is capable of the extraction of near complete primary and secondary venations with relatively little noise. For comparison, a method using ant colony algorithms is also discussed.</abstract><relatedItem type="host"><titleInfo><title>Advanced Concepts for Intelligent Vision Systems</title><subTitle>12th International Conference, ACIVS 2010, Sydney, Australia, December 13-16, 2010, Proceedings, Part I</subTitle></titleInfo><name type="personal"><namePart type="given">Jacques</namePart><namePart type="family">Blanc-Talon</namePart><affiliation>DGA/D4S/MRIS, CEP/GIP, 16 bis avenue Prieur de la côte d’or, 94114, Arcueil, France</affiliation><affiliation>E-mail: jacques.blanc-talon@dga.defense.gouv.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Don</namePart><namePart type="family">Bone</namePart><affiliation>Canon Information Systems Research Australia, Sydney, Australia</affiliation><affiliation>E-mail: don.bone@cisra.canon.com.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Wilfried</namePart><namePart type="family">Philips</namePart><affiliation>Telecommunications and Information processing (TELIN), Ghent University, St.-Pietersnieuwstraat 41, B9000, Ghent, Belgium</affiliation><affiliation>E-mail: philips@telin.UGent.be</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dan</namePart><namePart type="family">Popescu</namePart><affiliation>CSIRO ICT Centre, ICT Centre, Po Box 76, NSW 1710, Epping, Sydney, Australia</affiliation><affiliation>E-mail: dan.popescu@csiro.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Paul</namePart><namePart type="family">Scheunders</namePart><affiliation>Physics, University of Antwerp, Universiteitsplein 1; Building N. 2610, Wilrijk, Belgium</affiliation><affiliation>E-mail: Paul.Scheunders@ua.ac.be</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2010</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, Stanford, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart 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