Fast location of corn images based on position features
Fast and accurate positioning of corn image is a premise to variable spray. In this paper, a method of locating the centre of strains based on over-segmentation positioning block projection was raised against the growth characteristics and overlapping leaves of hole-sowing plant. Hole-sowing corn wa...
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| creator | Li-Jun Chen Wen-Tao Ren Yong-Kui Li |
| description | Fast and accurate positioning of corn image is a premise to variable spray. In this paper, a method of locating the centre of strains based on over-segmentation positioning block projection was raised against the growth characteristics and overlapping leaves of hole-sowing plant. Hole-sowing corn was studied as the research objective. Tests showed that the locating error was within 30mm, and the locating time was 16ms, which met the precision and real-time requirements of spray. This method was applicable to location for all stages of seedling crops. |
| doi_str_mv | 10.1109/IASP.2010.5476114 |
| format | Conference Proceeding |
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In this paper, a method of locating the centre of strains based on over-segmentation positioning block projection was raised against the growth characteristics and overlapping leaves of hole-sowing plant. Hole-sowing corn was studied as the research objective. Tests showed that the locating error was within 30mm, and the locating time was 16ms, which met the precision and real-time requirements of spray. 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In this paper, a method of locating the centre of strains based on over-segmentation positioning block projection was raised against the growth characteristics and overlapping leaves of hole-sowing plant. Hole-sowing corn was studied as the research objective. Tests showed that the locating error was within 30mm, and the locating time was 16ms, which met the precision and real-time requirements of spray. This method was applicable to location for all stages of seedling crops.</description><subject>Cameras</subject><subject>CMOS image sensors</subject><subject>Crops</subject><subject>image procession</subject><subject>Image segmentation</subject><subject>Layout</subject><subject>location features</subject><subject>Machine vision</subject><subject>projection positioning</subject><subject>Robustness</subject><subject>Soil</subject><subject>Spraying</subject><subject>Testing</subject><subject>variable spray</subject><subject>weed identification</subject><issn>2156-0110</issn><isbn>1424455545</isbn><isbn>9781424455546</isbn><isbn>1424455561</isbn><isbn>9781424455560</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFUMFKAzEQjWjBtvYDxEt-YOtMMpM0x1JsLRQU7L1ks4ms1G7ZrAf_3qAF5zLzHu_NG0aIe4Q5IrjH7fLtda6gQCZrEOlKTJAUETMbvP4HxDdirJBNBcU4EhMF4JxeaMJbMcv5A0oRKwV2LOza50Eeu-CHtjvJLsnQ9SfZfvr3mGXtc2xk4c9dbn8FKfrhq4_5ToySP-Y4u_Sp2K-f9qvnavey2a6Wu6p1MFTaWd9oRrZa2bokamtS7VLARCE2JqTgGtIGkkoc2Hsk0AvSqV7YEMs8FQ9_a9sY4-Hcl7v678PlAfoHz-xJwg</recordid><startdate>201004</startdate><enddate>201004</enddate><creator>Li-Jun Chen</creator><creator>Wen-Tao Ren</creator><creator>Yong-Kui Li</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201004</creationdate><title>Fast location of corn images based on position features</title><author>Li-Jun Chen ; Wen-Tao Ren ; Yong-Kui Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-397ad35157327b220376fb9fc1f4ced6cfc9d4360f2f5c5aa1403843fb87ce403</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Cameras</topic><topic>CMOS image sensors</topic><topic>Crops</topic><topic>image procession</topic><topic>Image segmentation</topic><topic>Layout</topic><topic>location features</topic><topic>Machine vision</topic><topic>projection positioning</topic><topic>Robustness</topic><topic>Soil</topic><topic>Spraying</topic><topic>Testing</topic><topic>variable spray</topic><topic>weed identification</topic><toplevel>online_resources</toplevel><creatorcontrib>Li-Jun Chen</creatorcontrib><creatorcontrib>Wen-Tao Ren</creatorcontrib><creatorcontrib>Yong-Kui 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>Li-Jun Chen</au><au>Wen-Tao Ren</au><au>Yong-Kui Li</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Fast location of corn images based on position features</atitle><btitle>2010 International Conference on Image Analysis and Signal Processing</btitle><stitle>IASP</stitle><date>2010-04</date><risdate>2010</risdate><spage>272</spage><epage>275</epage><pages>272-275</pages><issn>2156-0110</issn><isbn>1424455545</isbn><isbn>9781424455546</isbn><eisbn>1424455561</eisbn><eisbn>9781424455560</eisbn><abstract>Fast and accurate positioning of corn image is a premise to variable spray. In this paper, a method of locating the centre of strains based on over-segmentation positioning block projection was raised against the growth characteristics and overlapping leaves of hole-sowing plant. Hole-sowing corn was studied as the research objective. Tests showed that the locating error was within 30mm, and the locating time was 16ms, which met the precision and real-time requirements of spray. This method was applicable to location for all stages of seedling crops.</abstract><pub>IEEE</pub><doi>10.1109/IASP.2010.5476114</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2010 International Conference on Image Analysis and Signal Processing, 2010, p.272-275 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cameras CMOS image sensors Crops image procession Image segmentation Layout location features Machine vision projection positioning Robustness Soil Spraying Testing variable spray weed identification |
| title | Fast location of corn images based on position features |
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