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Edge detection using matched filter
For target tracking, automatic target recognition and detection applications, they value edge detection sensibility, precision and location accuracy rather than other criterions. Aimed at these three criterions, this paper presents an edge detection algorithm based on matched filter. Firstly, a matc...
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| creator | Luo Hai-bo Jiao An-bo Xu Ling-yun Shao Chun-yan |
| description | For target tracking, automatic target recognition and detection applications, they value edge detection sensibility, precision and location accuracy rather than other criterions. Aimed at these three criterions, this paper presents an edge detection algorithm based on matched filter. Firstly, a matched filter was designed by analyzing the edge model for natural image, then the edge response was computed using the designed matched filter; secondly, the lower and discontinuous filtered responses were further suppressed using a dedicated one-dimension filter; finally, the edge image was obtained by binarizing the edge response with a local adaptive threshold. Experimental results illustrate that the proposed algorithm has more improvement than the Sobel and Canny operators in detection sensibility, precision and location accuracy. Moreover, the algorithm can be implemented with parallel pipeline using FPGA, so it is also rather suitable for real-time applications. |
| doi_str_mv | 10.1109/CCDC.2015.7162087 |
| format | conference_proceeding |
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Moreover, the algorithm can be implemented with parallel pipeline using FPGA, so it is also rather suitable for real-time applications.</description><subject>edge detection</subject><subject>Feature extraction</subject><subject>Filtering theory</subject><subject>Finite impulse response filters</subject><subject>Image edge detection</subject><subject>local adaptive threshold</subject><subject>matched filter</subject><subject>Matched filters</subject><subject>Mathematical model</subject><subject>Noise</subject><subject>noise suppression</subject><subject>real-time application</subject><issn>1948-9439</issn><issn>1948-9447</issn><isbn>9781479970179</isbn><isbn>9781479970162</isbn><isbn>1479970174</isbn><isbn>1479970166</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2015</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9j0tLAzEUhaMoWOr8AHEz4HrG3ORmkiwl1gcU3Oi65HFTI22Vmbjw3ztgcfUdzuI8GLsC3gNwe-vcvesFB9VrGAQ3-oQ1VhtAba3moO0pW4BF01lEffavpb1gzTR9cM5nR-MgF-xmlbbUJqoUa_k8tN9TOWzbva_xnVKby67SeMnOs99N1By5ZG8Pq1f31K1fHp_d3bor84bageEoeaQMJoSQRZQzlcxK0twn05A9gQIfAsZBoUBNUdiYdUITTEK5ZNd_uYWINl9j2fvxZ3O8KH8BG29BmA</recordid><startdate>20150501</startdate><enddate>20150501</enddate><creator>Luo Hai-bo</creator><creator>Jiao An-bo</creator><creator>Xu Ling-yun</creator><creator>Shao Chun-yan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20150501</creationdate><title>Edge detection using matched filter</title><author>Luo Hai-bo ; Jiao An-bo ; Xu Ling-yun ; Shao Chun-yan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i208t-180430cef18bbbf2c38bb53f53e0193d6fae151abb4c654247ec29cf7d48b8d43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2015</creationdate><topic>edge detection</topic><topic>Feature extraction</topic><topic>Filtering theory</topic><topic>Finite impulse response filters</topic><topic>Image edge detection</topic><topic>local adaptive threshold</topic><topic>matched filter</topic><topic>Matched filters</topic><topic>Mathematical model</topic><topic>Noise</topic><topic>noise suppression</topic><topic>real-time application</topic><toplevel>online_resources</toplevel><creatorcontrib>Luo Hai-bo</creatorcontrib><creatorcontrib>Jiao An-bo</creatorcontrib><creatorcontrib>Xu Ling-yun</creatorcontrib><creatorcontrib>Shao Chun-yan</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/IET 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>Luo Hai-bo</au><au>Jiao An-bo</au><au>Xu Ling-yun</au><au>Shao Chun-yan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Edge detection using matched filter</atitle><btitle>The 27th Chinese Control and Decision Conference (2015 CCDC)</btitle><stitle>CCDC</stitle><date>2015-05-01</date><risdate>2015</risdate><spage>1132</spage><epage>1136</epage><pages>1132-1136</pages><issn>1948-9439</issn><eissn>1948-9447</eissn><eisbn>9781479970179</eisbn><eisbn>9781479970162</eisbn><eisbn>1479970174</eisbn><eisbn>1479970166</eisbn><abstract>For target tracking, automatic target recognition and detection applications, they value edge detection sensibility, precision and location accuracy rather than other criterions. Aimed at these three criterions, this paper presents an edge detection algorithm based on matched filter. Firstly, a matched filter was designed by analyzing the edge model for natural image, then the edge response was computed using the designed matched filter; secondly, the lower and discontinuous filtered responses were further suppressed using a dedicated one-dimension filter; finally, the edge image was obtained by binarizing the edge response with a local adaptive threshold. Experimental results illustrate that the proposed algorithm has more improvement than the Sobel and Canny operators in detection sensibility, precision and location accuracy. Moreover, the algorithm can be implemented with parallel pipeline using FPGA, so it is also rather suitable for real-time applications.</abstract><pub>IEEE</pub><doi>10.1109/CCDC.2015.7162087</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1948-9439 |
| ispartof | The 27th Chinese Control and Decision Conference (2015 CCDC), 2015, p.1132-1136 |
| issn | 1948-9439 1948-9447 |
| language | eng |
| recordid | cdi_ieee_primary_7162087 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | edge detection Feature extraction Filtering theory Finite impulse response filters Image edge detection local adaptive threshold matched filter Matched filters Mathematical model Noise noise suppression real-time application |
| title | Edge detection using matched filter |
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