Statistical Pattern Recognition Using the Normalized Complex Moment Components Vector
Identifieur interne : 001964 ( Istex/Corpus ); précédent : 001963; suivant : 001965Statistical Pattern Recognition Using the Normalized Complex Moment Components Vector
Auteurs : Stavros Paschalakis ; Peter LeeSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2000.
Abstract
Abstract: This paper presents a new feature vector for statistical pattern recognition based on the theory of moments, namely the Normalized Complex Moment Components (NCMC). The NCMC will be evaluated in the recognition of objects which share identical silhouettes using grayscale images and its performance will be compared with that of a commonly used moment based feature vector, the Hu moment invariants. The tolerance of the NCMC to random noise and the effect of using different orders of moments in its calculation will also be investigated.
Url:
DOI: 10.1007/3-540-44522-6_55
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ISTEX:9DFE289EF86BBA32D64813D2088366B762C7B5AALe document en format XML
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The NCMC will be evaluated in the recognition of objects which share identical silhouettes using grayscale images and its performance will be compared with that of a commonly used moment based feature vector, the Hu moment invariants. The tolerance of the NCMC to random noise and the effect of using different orders of moments in its calculation will also be investigated.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Statistical Pattern Recognition Using the Normalized Complex Moment Components Vector</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Statistical Pattern Recognition Using the Normalized Complex Moment Components Vector</title></titleInfo><name type="personal"><namePart type="given">Stavros</namePart><namePart type="family">Paschalakis</namePart><affiliation>Electronic Engineering Laboratory, University of Kent at Canterbury, CT2 7NT, Canterbury, Kent, UK</affiliation><affiliation>E-mail: sp11@ukc.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Peter</namePart><namePart type="family">Lee</namePart><affiliation>Electronic Engineering Laboratory, University of Kent at Canterbury, CT2 7NT, Canterbury, Kent, UK</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2000</dateIssued><copyrightDate encoding="w3cdtf">2000</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: This paper presents a new feature vector for statistical pattern recognition based on the theory of moments, namely the Normalized Complex Moment Components (NCMC). The NCMC will be evaluated in the recognition of objects which share identical silhouettes using grayscale images and its performance will be compared with that of a commonly used moment based feature vector, the Hu moment invariants. The tolerance of the NCMC to random noise and the effect of using different orders of moments in its calculation will also be investigated.</abstract><relatedItem type="host"><titleInfo><title>Advances in Pattern Recognition</title><subTitle>Joint IAPR International Workshops SSPR 2000 and SPR 2000 Alicante, Spain, August 30 – September 1, 2000 Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Francesc</namePart><namePart type="given">J.</namePart><namePart type="family">Ferri</namePart><affiliation>Department of Computer Science, University of València, 46100, Burjassot (València), Spain</affiliation><affiliation>E-mail: ferri@uv.es</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">José</namePart><namePart type="given">M.</namePart><namePart type="family">Iñesta</namePart><affiliation>Department of Computer Languages and Systems, University of Alicante, 03071, Alicante, Spain</affiliation><affiliation>E-mail: inesta@dlsi.ua.es</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Adnan</namePart><namePart type="family">Amin</namePart><affiliation>School of Computer Science and Engineering, University of New South Wales, 2052, Sydney, NSW, Australia</affiliation><affiliation>E-mail: amin@cse.unsw.edu.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Pavel</namePart><namePart type="family">Pudil</namePart><affiliation>Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, 182 08, Prague 8, Czech Republic</affiliation><affiliation>E-mail: pudil@utia.cas.cz</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2000</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="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="I22013">Computer Graphics</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic></subject><identifier type="DOI">10.1007/3-540-44522-6</identifier><identifier type="ISBN">978-3-540-67946-2</identifier><identifier type="eISBN">978-3-540-44522-7</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="BookTitleID">62934</identifier><identifier type="BookID">3-540-44522-6</identifier><identifier type="BookChapterCount">92</identifier><identifier type="BookVolumeNumber">1876</identifier><identifier type="BookSequenceNumber">1876</identifier><identifier type="PartChapterCount">4</identifier><part><date>2000</date><detail type="part"><title>Object Recognition</title></detail><detail type="volume"><number>1876</number><caption>vol.</caption></detail><extent unit="pages"><start>532</start><end>539</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2000</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Goos</namePart><affiliation>Karlsruhe University, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Juris</namePart><namePart type="family">Hartmanis</namePart><affiliation>Cornell University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jan</namePart><namePart type="family">van Leeuwen</namePart><affiliation>Utrecht University, The Netherlands</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2000</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2000</recordOrigin></recordInfo></relatedItem><identifier type="istex">9DFE289EF86BBA32D64813D2088366B762C7B5AA</identifier><identifier type="DOI">10.1007/3-540-44522-6_55</identifier><identifier type="ChapterID">55</identifier><identifier type="ChapterID">Chap55</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2000</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2000</recordOrigin></recordInfo></mods></metadata><enrichments><istex:refBibTEI uri="https://api.istex.fr/document/9DFE289EF86BBA32D64813D2088366B762C7B5AA/enrichments/refBib"><teiHeader></teiHeader><text><front></front><body></body><back><listBibl><biblStruct xml:id="b0"><analytic><title level="a" type="main">A Survey of Shape Analysis Techniques</title><author><persName><forename type="first">S</forename><surname>Loncaric</surname></persName></author></analytic><monogr><title level="j">Pattern Recognition</title><imprint><biblScope 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