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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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic>
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<topic authority="SpringerSubjectCodes" authorityURI="I13022">Computer Communication Networks</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I16021">Algorithm Analysis and Problem Complexity</topic>
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<identifier type="DOI">10.1007/978-3-642-17688-3</identifier>
<identifier type="ISBN">978-3-642-17687-6</identifier>
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<identifier type="ISSN">0302-9743</identifier>
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<detail type="part"><title>Segmentation and Edge Detection</title>
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<relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title>
</titleInfo>
<name type="personal"><namePart type="given">David</namePart>
<namePart type="family">Hutchison</namePart>
<affiliation>Lancaster University, Lancaster, UK</affiliation>
<role><roleTerm type="text">editor</roleTerm>
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</name>
<name type="personal"><namePart type="given">Takeo</namePart>
<namePart type="family">Kanade</namePart>
<affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation>
<role><roleTerm type="text">editor</roleTerm>
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</name>
<name type="personal"><namePart type="given">Josef</namePart>
<namePart type="family">Kittler</namePart>
<affiliation>University of Surrey, Guildford, UK</affiliation>
<role><roleTerm type="text">editor</roleTerm>
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</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>
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<name type="personal"><namePart type="given">Friedemann</namePart>
<namePart type="family">Mattern</namePart>
<affiliation>ETH Zurich, Zurich, Switzerland</affiliation>
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<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>
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<name type="personal"><namePart type="given">Moni</namePart>
<namePart type="family">Naor</namePart>
<affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation>
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<name type="personal"><namePart type="given">Oscar</namePart>
<namePart type="family">Nierstrasz</namePart>
<affiliation>University of Bern, Bern, Switzerland</affiliation>
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<name type="personal"><namePart type="given">C.</namePart>
<namePart type="family">Pandu Rangan</namePart>
<affiliation>Indian Institute of Technology, Madras, India</affiliation>
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<name type="personal"><namePart type="given">Bernhard</namePart>
<namePart type="family">Steffen</namePart>
<affiliation>University of Dortmund, Dortmund, Germany</affiliation>
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<name type="personal"><namePart type="given">Madhu</namePart>
<namePart type="family">Sudan</namePart>
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<name type="personal"><namePart type="given">Demetri</namePart>
<namePart type="family">Terzopoulos</namePart>
<affiliation>University of California, Los Angeles, CA, USA</affiliation>
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<name type="personal"><namePart type="given">Doug</namePart>
<namePart type="family">Tygar</namePart>
<affiliation>University of California, Berkeley, CA, USA</affiliation>
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<name type="personal"><namePart type="given">Moshe</namePart>
<namePart type="given">Y.</namePart>
<namePart type="family">Vardi</namePart>
<affiliation>Rice University, Houston, TX, USA</affiliation>
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<name type="personal"><namePart type="given">Gerhard</namePart>
<namePart type="family">Weikum</namePart>
<affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation>
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