Fuzzy contour detection based on a good approximation of the argument of the gradient vector
This paper presents an edge detection algorithm whose output provides, for each pixel, the degree to which it looks like an edge pixel. The algorithm design is based on the analysis of gradient vectors' magnitudes and directions within a local neighborhood of the pixel being considered. The use...
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creator | Garcia-Barroso, C. Sobrevilla, P. Pedra, A.L. Montseny, E. |
description | This paper presents an edge detection algorithm whose output provides, for each pixel, the degree to which it looks like an edge pixel. The algorithm design is based on the analysis of gradient vectors' magnitudes and directions within a local neighborhood of the pixel being considered. The use of fuzzy techniques makes it possible for the algorithm to be parameter-independent for adapting it to the image to be analyzed. Moreover, since it is based on a local analysis, it can be processed in parallel, allowing real-time execution. |
doi_str_mv | 10.1109/NAFIPS.2002.1018065 |
format | Conference Proceeding |
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Moreover, since it is based on a local analysis, it can be processed in parallel, allowing real-time execution.</description><subject>Acoustic noise</subject><subject>Algorithm design and analysis</subject><subject>Computer vision</subject><subject>Data mining</subject><subject>Detectors</subject><subject>Humans</subject><subject>Image analysis</subject><subject>Image edge detection</subject><subject>Lighting</subject><subject>Signal to noise ratio</subject><isbn>0780374614</isbn><isbn>9780780374614</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2002</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UFFLwzAYDIigzv2CveQPtOZrkjZ9HMPqYKigvgnjS_u1VlxT0lTcfr2dznu5Ow6O4xhbgIgBRH7zsCzWT89xIkQSgwAjUn3GrkRmhMxUCuqCzYfhQ0xQGrTQl-ytGA-HPS9dF9zoeUWBytC6jlscqOKTQN44V3Hse---2x3-pq7m4Z04-mbcURf-feOxao_-a2px_pqd1_g50PzEM_Za3L6s7qPN4916tdxELWQyRAoylBZsjaU0VumUtAGUCAR1aVIhskxDpa1JyEq0NeRG5XRMSqUwMXLGFn-9LRFtez-t9Pvt6QD5A4fdUqc</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Garcia-Barroso, C.</creator><creator>Sobrevilla, P.</creator><creator>Pedra, A.L.</creator><creator>Montseny, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2002</creationdate><title>Fuzzy contour detection based on a good approximation of the argument of the gradient vector</title><author>Garcia-Barroso, C. ; Sobrevilla, P. ; Pedra, A.L. ; Montseny, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i173t-417a3b1bfac38b456e581a3a1e1fc86007751d5b82eb3abf19849ec860c44a283</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Acoustic noise</topic><topic>Algorithm design and analysis</topic><topic>Computer vision</topic><topic>Data mining</topic><topic>Detectors</topic><topic>Humans</topic><topic>Image analysis</topic><topic>Image edge detection</topic><topic>Lighting</topic><topic>Signal to noise ratio</topic><toplevel>online_resources</toplevel><creatorcontrib>Garcia-Barroso, C.</creatorcontrib><creatorcontrib>Sobrevilla, P.</creatorcontrib><creatorcontrib>Pedra, A.L.</creatorcontrib><creatorcontrib>Montseny, 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 Electronic Library (IEL)</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>Garcia-Barroso, C.</au><au>Sobrevilla, P.</au><au>Pedra, A.L.</au><au>Montseny, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Fuzzy contour detection based on a good approximation of the argument of the gradient vector</atitle><btitle>2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)</btitle><stitle>NAFIPS</stitle><date>2002</date><risdate>2002</risdate><spage>255</spage><epage>260</epage><pages>255-260</pages><isbn>0780374614</isbn><isbn>9780780374614</isbn><abstract>This paper presents an edge detection algorithm whose output provides, for each pixel, the degree to which it looks like an edge pixel. The algorithm design is based on the analysis of gradient vectors' magnitudes and directions within a local neighborhood of the pixel being considered. The use of fuzzy techniques makes it possible for the algorithm to be parameter-independent for adapting it to the image to be analyzed. Moreover, since it is based on a local analysis, it can be processed in parallel, allowing real-time execution.</abstract><pub>IEEE</pub><doi>10.1109/NAFIPS.2002.1018065</doi><tpages>6</tpages></addata></record> |
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ispartof | 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622), 2002, p.255-260 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Acoustic noise Algorithm design and analysis Computer vision Data mining Detectors Humans Image analysis Image edge detection Lighting Signal to noise ratio |
title | Fuzzy contour detection based on a good approximation of the argument of the gradient vector |
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