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Geometric feature extraction using the chord transformation
Geometric feature extraction can play an important role in the understanding of the content of an image. Methods such as the Hough transform are useful, but are subject to restrictions imposed by scale and object orientation. This paper describes the chord transform, not widely used to date, primari...
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container_end_page | 405 vol.4 |
container_issue | |
container_start_page | 399 |
container_title | |
container_volume | 4 |
creator | Selvage, J.E. Chenoweth, D.L. Gold, V.E. |
description | Geometric feature extraction can play an important role in the understanding of the content of an image. Methods such as the Hough transform are useful, but are subject to restrictions imposed by scale and object orientation. This paper describes the chord transform, not widely used to date, primarily due to the computational requirements. The chord transform can be used to detect geometric edge structural content within an image. Various adaptations of the chord transform, its implementation, and some practical applications in geometric feature extraction are discussed in this paper. |
doi_str_mv | 10.1109/AERO.1996.499675 |
format | conference_proceeding |
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Methods such as the Hough transform are useful, but are subject to restrictions imposed by scale and object orientation. This paper describes the chord transform, not widely used to date, primarily due to the computational requirements. The chord transform can be used to detect geometric edge structural content within an image. Various adaptations of the chord transform, its implementation, and some practical applications in geometric feature extraction are discussed in this paper.</description><identifier>ISBN: 0780331966</identifier><identifier>ISBN: 9780780331969</identifier><identifier>DOI: 10.1109/AERO.1996.499675</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biographies ; Feature extraction ; Gold ; Histograms ; Image converters ; Image edge detection ; Image recognition ; Information geometry ; Probability density function ; Shape</subject><ispartof>1996 IEEE Aerospace Applications Conference. 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Proceedings</title><addtitle>AERO</addtitle><description>Geometric feature extraction can play an important role in the understanding of the content of an image. Methods such as the Hough transform are useful, but are subject to restrictions imposed by scale and object orientation. This paper describes the chord transform, not widely used to date, primarily due to the computational requirements. The chord transform can be used to detect geometric edge structural content within an image. Various adaptations of the chord transform, its implementation, and some practical applications in geometric feature extraction are discussed in this paper.</description><subject>Biographies</subject><subject>Feature extraction</subject><subject>Gold</subject><subject>Histograms</subject><subject>Image converters</subject><subject>Image edge detection</subject><subject>Image recognition</subject><subject>Information geometry</subject><subject>Probability density function</subject><subject>Shape</subject><isbn>0780331966</isbn><isbn>9780780331969</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj1FLwzAUhQMiqHPv4lP-QOtNc5sm-DTGnMJgINvzuDa3LmJbSTLQf29lnofvPHxw4Ahxp6BUCtzDYvW6LZVzpsQJTX0hbqCxoLVyxlyJeUofMAXrunLuWjyueew5x9DKjimfIkv-zpHaHMZBnlIY3mU-smyPY_RyEkPqxtjTn74Vlx19Jp7_90zsn1a75XOx2a5flotNERRgLryutTXeM_jKEAE66wCxIvSWLbFRqkFtmY2r3kBXpAyhatECdsaQ1zNxf94NzHz4iqGn-HM439O_M_JFqg</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Selvage, J.E.</creator><creator>Chenoweth, D.L.</creator><creator>Gold, V.E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>Geometric feature extraction using the chord transformation</title><author>Selvage, J.E. ; Chenoweth, D.L. ; Gold, V.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-d35386dde0d26aa049890442a4d8e8ae6117438ee692b032a16a41c4804f66ad3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Biographies</topic><topic>Feature extraction</topic><topic>Gold</topic><topic>Histograms</topic><topic>Image converters</topic><topic>Image edge detection</topic><topic>Image recognition</topic><topic>Information geometry</topic><topic>Probability density function</topic><topic>Shape</topic><toplevel>online_resources</toplevel><creatorcontrib>Selvage, J.E.</creatorcontrib><creatorcontrib>Chenoweth, D.L.</creatorcontrib><creatorcontrib>Gold, V.E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Selvage, J.E.</au><au>Chenoweth, D.L.</au><au>Gold, V.E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Geometric feature extraction using the chord transformation</atitle><btitle>1996 IEEE Aerospace Applications Conference. Proceedings</btitle><stitle>AERO</stitle><date>1996</date><risdate>1996</risdate><volume>4</volume><spage>399</spage><epage>405 vol.4</epage><pages>399-405 vol.4</pages><isbn>0780331966</isbn><isbn>9780780331969</isbn><abstract>Geometric feature extraction can play an important role in the understanding of the content of an image. Methods such as the Hough transform are useful, but are subject to restrictions imposed by scale and object orientation. This paper describes the chord transform, not widely used to date, primarily due to the computational requirements. The chord transform can be used to detect geometric edge structural content within an image. Various adaptations of the chord transform, its implementation, and some practical applications in geometric feature extraction are discussed in this paper.</abstract><pub>IEEE</pub><doi>10.1109/AERO.1996.499675</doi></addata></record> |
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identifier | ISBN: 0780331966 |
ispartof | 1996 IEEE Aerospace Applications Conference. Proceedings, 1996, Vol.4, p.399-405 vol.4 |
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language | eng |
recordid | cdi_ieee_primary_499675 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Biographies Feature extraction Gold Histograms Image converters Image edge detection Image recognition Information geometry Probability density function Shape |
title | Geometric feature extraction using the chord transformation |
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