Hough Transform from the Radon Transform
An appropriate special case of a transform developed by J. Radon in 1917 is shown to have the major properties of the Hough transform which is useful for finding line segments in digital pictures. Such an observation may be useful in further efforts to generalize the Hough transform. Techniques for...
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Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence 1981-03, Vol.PAMI-3 (2), p.185-188 |
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container_title | IEEE transactions on pattern analysis and machine intelligence |
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creator | Deans, Stanley R. |
description | An appropriate special case of a transform developed by J. Radon in 1917 is shown to have the major properties of the Hough transform which is useful for finding line segments in digital pictures. Such an observation may be useful in further efforts to generalize the Hough transform. Techniques for applying the Radon transform to lines and pixels are developed through examples, and the appropriate generalization to arbitrary curves is discussed. |
doi_str_mv | 10.1109/TPAMI.1981.4767076 |
format | Article |
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Radon in 1917 is shown to have the major properties of the Hough transform which is useful for finding line segments in digital pictures. Such an observation may be useful in further efforts to generalize the Hough transform. Techniques for applying the Radon transform to lines and pixels are developed through examples, and the appropriate generalization to arbitrary curves is discussed.</description><identifier>ISSN: 0162-8828</identifier><identifier>EISSN: 1939-3539</identifier><identifier>DOI: 10.1109/TPAMI.1981.4767076</identifier><identifier>PMID: 21868933</identifier><identifier>CODEN: ITPIDJ</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Computed tomography ; Curve detection ; Geometry ; Hough transform ; Image analysis ; Image processing ; Image segmentation ; line detection ; Mathematics ; Radon transform</subject><ispartof>IEEE transactions on pattern analysis and machine intelligence, 1981-03, Vol.PAMI-3 (2), p.185-188</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c320t-61ff522000d52eeaffae510cf9427eb814f64f393be8aea5973e42e0ab202e453</citedby><cites>FETCH-LOGICAL-c320t-61ff522000d52eeaffae510cf9427eb814f64f393be8aea5973e42e0ab202e453</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4767076$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4767076$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21868933$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Deans, Stanley R.</creatorcontrib><title>Hough Transform from the Radon Transform</title><title>IEEE transactions on pattern analysis and machine intelligence</title><addtitle>TPAMI</addtitle><addtitle>IEEE Trans Pattern Anal Mach Intell</addtitle><description>An appropriate special case of a transform developed by J. Radon in 1917 is shown to have the major properties of the Hough transform which is useful for finding line segments in digital pictures. Such an observation may be useful in further efforts to generalize the Hough transform. Techniques for applying the Radon transform to lines and pixels are developed through examples, and the appropriate generalization to arbitrary curves is discussed.</description><subject>Computed tomography</subject><subject>Curve detection</subject><subject>Geometry</subject><subject>Hough transform</subject><subject>Image analysis</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>line detection</subject><subject>Mathematics</subject><subject>Radon transform</subject><issn>0162-8828</issn><issn>1939-3539</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1981</creationdate><recordtype>article</recordtype><recordid>eNpFkM1OAjEYRRujEURfQBMzO90Mfv2ddkmICglGY3DddIavgmEotjML316QH1d3cc-9i0PINYU-pWAepm-Dl3GfGk37olAFFOqEdKnhJueSm1PSBapYrjXTHXKR0hcAFRL4OekwqpU2nHfJ_Si0n_NsGt0q-RDrzMdQZ80cs3c3C6v_4pKcebdMeLXPHvl4epwOR_nk9Xk8HEzyijNockW9l4wBwEwyROe9Q0mh8kawAktNhVfCc8NL1A6dNAVHwRBcyYChkLxH7na_6xi-W0yNrRepwuXSrTC0yWotpaKCiQ3JdmQVQ0oRvV3HRe3ij6Vgt4LsnyC7FWT3gjaj2_19W9Y4O04ORjbAzQ5YIOKxPsx_AZJ0aN4</recordid><startdate>198103</startdate><enddate>198103</enddate><creator>Deans, Stanley R.</creator><general>IEEE</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>198103</creationdate><title>Hough Transform from the Radon Transform</title><author>Deans, Stanley R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c320t-61ff522000d52eeaffae510cf9427eb814f64f393be8aea5973e42e0ab202e453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1981</creationdate><topic>Computed tomography</topic><topic>Curve detection</topic><topic>Geometry</topic><topic>Hough transform</topic><topic>Image analysis</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>line detection</topic><topic>Mathematics</topic><topic>Radon transform</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Deans, Stanley R.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on pattern analysis and machine intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Deans, Stanley R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hough Transform from the Radon Transform</atitle><jtitle>IEEE transactions on pattern analysis and machine intelligence</jtitle><stitle>TPAMI</stitle><addtitle>IEEE Trans Pattern Anal Mach Intell</addtitle><date>1981-03</date><risdate>1981</risdate><volume>PAMI-3</volume><issue>2</issue><spage>185</spage><epage>188</epage><pages>185-188</pages><issn>0162-8828</issn><eissn>1939-3539</eissn><coden>ITPIDJ</coden><abstract>An appropriate special case of a transform developed by J. Radon in 1917 is shown to have the major properties of the Hough transform which is useful for finding line segments in digital pictures. Such an observation may be useful in further efforts to generalize the Hough transform. Techniques for applying the Radon transform to lines and pixels are developed through examples, and the appropriate generalization to arbitrary curves is discussed.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>21868933</pmid><doi>10.1109/TPAMI.1981.4767076</doi><tpages>4</tpages></addata></record> |
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ispartof | IEEE transactions on pattern analysis and machine intelligence, 1981-03, Vol.PAMI-3 (2), p.185-188 |
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language | eng |
recordid | cdi_crossref_primary_10_1109_TPAMI_1981_4767076 |
source | IEEE Electronic Library (IEL) |
subjects | Computed tomography Curve detection Geometry Hough transform Image analysis Image processing Image segmentation line detection Mathematics Radon transform |
title | Hough Transform from the Radon Transform |
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