Bowstring-based dual-threshold computation method for adaptive Canny edge detector
This paper proposed a novel dual-threshold computation method of Canny edge detector based on gradient magnitude histogram (GMH), targeting with the adaptive acquisition of low-/high-threshold for unimodal hysteresis thresholding. With the introduction of the bowstring concept, which accurately meas...
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| creator | Xiangdong Liu Yin Yu Bing Liu Zhen Li |
| description | This paper proposed a novel dual-threshold computation method of Canny edge detector based on gradient magnitude histogram (GMH), targeting with the adaptive acquisition of low-/high-threshold for unimodal hysteresis thresholding. With the introduction of the bowstring concept, which accurately measures the tendency of the GMH on the whole, the dual-threshold computation is implemented by adaptive-searching two tangent points with transitional characteristics. This skillful algorithm of the dual-threshold computation method is further evaluated by using the receiver operating characteristics (ROC) curve evaluation method. The detailed comparison to the Otsu's method is presented and demonstrates the reliability and robust performance of the proposed dual-threshold computation method. |
| doi_str_mv | 10.1109/IVCNZ.2013.6726985 |
| format | Conference Proceeding |
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With the introduction of the bowstring concept, which accurately measures the tendency of the GMH on the whole, the dual-threshold computation is implemented by adaptive-searching two tangent points with transitional characteristics. This skillful algorithm of the dual-threshold computation method is further evaluated by using the receiver operating characteristics (ROC) curve evaluation method. The detailed comparison to the Otsu's method is presented and demonstrates the reliability and robust performance of the proposed dual-threshold computation method.</description><identifier>ISSN: 2151-2191</identifier><identifier>EISSN: 2151-2205</identifier><identifier>EISBN: 9781479908837</identifier><identifier>EISBN: 1479908827</identifier><identifier>EISBN: 1479908835</identifier><identifier>EISBN: 9781479908820</identifier><identifier>DOI: 10.1109/IVCNZ.2013.6726985</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive dual-threshold computation ; Adaptive systems ; Canny edge detector ; Detectors ; Gradient magnitude histogram (GMH) ; Histograms ; Hysteresis ; Image edge detection ; Shape ; Testing ; Unsupervised hysteresis thresholding</subject><ispartof>2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013), 2013, p.13-18</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6726985$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6726985$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xiangdong Liu</creatorcontrib><creatorcontrib>Yin Yu</creatorcontrib><creatorcontrib>Bing Liu</creatorcontrib><creatorcontrib>Zhen Li</creatorcontrib><title>Bowstring-based dual-threshold computation method for adaptive Canny edge detector</title><title>2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013)</title><addtitle>IVCNZ</addtitle><description>This paper proposed a novel dual-threshold computation method of Canny edge detector based on gradient magnitude histogram (GMH), targeting with the adaptive acquisition of low-/high-threshold for unimodal hysteresis thresholding. With the introduction of the bowstring concept, which accurately measures the tendency of the GMH on the whole, the dual-threshold computation is implemented by adaptive-searching two tangent points with transitional characteristics. This skillful algorithm of the dual-threshold computation method is further evaluated by using the receiver operating characteristics (ROC) curve evaluation method. The detailed comparison to the Otsu's method is presented and demonstrates the reliability and robust performance of the proposed dual-threshold computation method.</description><subject>Adaptive dual-threshold computation</subject><subject>Adaptive systems</subject><subject>Canny edge detector</subject><subject>Detectors</subject><subject>Gradient magnitude histogram (GMH)</subject><subject>Histograms</subject><subject>Hysteresis</subject><subject>Image edge detection</subject><subject>Shape</subject><subject>Testing</subject><subject>Unsupervised hysteresis thresholding</subject><issn>2151-2191</issn><issn>2151-2205</issn><isbn>9781479908837</isbn><isbn>1479908827</isbn><isbn>1479908835</isbn><isbn>9781479908820</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kNFKwzAUhqMoOGZfQG_yAp3nJE2TXGrRORgKol54M7LkdK2szWgzZW-v4Lz6v6sPvp-xK4QZItibxXv19DETgHJWalFao05YZrXBQlsLxkh9yiYCFeZCgDr7Z7R4wbJx_AQA1FrJAibs5S5-j2lo-02-diMFHvZum6dmoLGJ28B97Hb75FIbe95RamLgdRy4C26X2i_ilev7A6ewIR4okU9xuGTntduOlB13yt4e7l-rx3z5PF9Ut8u8FWBSLusagvaABF7V6BFA2KAJlSq9t24tjA8laaOMllQUvy1CSrVWSugStJdTdv3nbYlotRvazg2H1fER-QPmP1LX</recordid><startdate>20131101</startdate><enddate>20131101</enddate><creator>Xiangdong Liu</creator><creator>Yin Yu</creator><creator>Bing Liu</creator><creator>Zhen Li</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20131101</creationdate><title>Bowstring-based dual-threshold computation method for adaptive Canny edge detector</title><author>Xiangdong Liu ; Yin Yu ; Bing Liu ; Zhen Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i208t-3ff0d7c01e0c5f1c10029d7e1556cc9ab28cd6e785873e442202335b5527607c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adaptive dual-threshold computation</topic><topic>Adaptive systems</topic><topic>Canny edge detector</topic><topic>Detectors</topic><topic>Gradient magnitude histogram (GMH)</topic><topic>Histograms</topic><topic>Hysteresis</topic><topic>Image edge detection</topic><topic>Shape</topic><topic>Testing</topic><topic>Unsupervised hysteresis thresholding</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiangdong Liu</creatorcontrib><creatorcontrib>Yin Yu</creatorcontrib><creatorcontrib>Bing Liu</creatorcontrib><creatorcontrib>Zhen Li</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>Xiangdong Liu</au><au>Yin Yu</au><au>Bing Liu</au><au>Zhen Li</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Bowstring-based dual-threshold computation method for adaptive Canny edge detector</atitle><btitle>2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013)</btitle><stitle>IVCNZ</stitle><date>2013-11-01</date><risdate>2013</risdate><spage>13</spage><epage>18</epage><pages>13-18</pages><issn>2151-2191</issn><eissn>2151-2205</eissn><eisbn>9781479908837</eisbn><eisbn>1479908827</eisbn><eisbn>1479908835</eisbn><eisbn>9781479908820</eisbn><abstract>This paper proposed a novel dual-threshold computation method of Canny edge detector based on gradient magnitude histogram (GMH), targeting with the adaptive acquisition of low-/high-threshold for unimodal hysteresis thresholding. With the introduction of the bowstring concept, which accurately measures the tendency of the GMH on the whole, the dual-threshold computation is implemented by adaptive-searching two tangent points with transitional characteristics. This skillful algorithm of the dual-threshold computation method is further evaluated by using the receiver operating characteristics (ROC) curve evaluation method. The detailed comparison to the Otsu's method is presented and demonstrates the reliability and robust performance of the proposed dual-threshold computation method.</abstract><pub>IEEE</pub><doi>10.1109/IVCNZ.2013.6726985</doi><tpages>6</tpages></addata></record> |
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| identifier | ISSN: 2151-2191 |
| ispartof | 2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013), 2013, p.13-18 |
| issn | 2151-2191 2151-2205 |
| language | eng |
| recordid | cdi_ieee_primary_6726985 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive dual-threshold computation Adaptive systems Canny edge detector Detectors Gradient magnitude histogram (GMH) Histograms Hysteresis Image edge detection Shape Testing Unsupervised hysteresis thresholding |
| title | Bowstring-based dual-threshold computation method for adaptive Canny edge detector |
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