Ink layer thickness detection method based on machine vision
The invention discloses an ink layer thickness detection method based on machine vision. The method includes the following implementation steps that 1, ink single-color on-site color lumps are manufactured, and density values of the ink single-color on-site color lumps are measured; 2, images of the...
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creator | FAN CAIXIA FENG YU'NA JING CUINING HU TAO LIU HU |
description | The invention discloses an ink layer thickness detection method based on machine vision. The method includes the following implementation steps that 1, ink single-color on-site color lumps are manufactured, and density values of the ink single-color on-site color lumps are measured; 2, images of the ink single-color on-site color lumps and digital color information of the images are obtained; 3, a model of mathematic relation between the digital color information of the images of the ink single-color on-site color lumps and the density information is established; 4, the thicknesses of ink layers are obtained through the digital color information of the images of the ink single-color on-site color lumps, and then detection on the thicknesses of the ink layers with the yellow ink Y, the magenta ink M, the cyan ink C and the black ink K on the basis of the machine vision is achieved. According to the method, the thicknesses of the ink layers are obtained through the digital color information of the images of the |
format | Patent |
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The method includes the following implementation steps that 1, ink single-color on-site color lumps are manufactured, and density values of the ink single-color on-site color lumps are measured; 2, images of the ink single-color on-site color lumps and digital color information of the images are obtained; 3, a model of mathematic relation between the digital color information of the images of the ink single-color on-site color lumps and the density information is established; 4, the thicknesses of ink layers are obtained through the digital color information of the images of the ink single-color on-site color lumps, and then detection on the thicknesses of the ink layers with the yellow ink Y, the magenta ink M, the cyan ink C and the black ink K on the basis of the machine vision is achieved. According to the method, the thicknesses of the ink layers are obtained through the digital color information of the images of the</description><language>chi ; eng</language><subject>MEASURING ; MEASURING ANGLES ; MEASURING AREAS ; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS ; MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS ; PHYSICS ; TESTING</subject><creationdate>2014</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20140917&DB=EPODOC&CC=CN&NR=104048613A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20140917&DB=EPODOC&CC=CN&NR=104048613A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>FAN CAIXIA</creatorcontrib><creatorcontrib>FENG YU'NA</creatorcontrib><creatorcontrib>JING CUINING</creatorcontrib><creatorcontrib>HU TAO</creatorcontrib><creatorcontrib>LIU HU</creatorcontrib><title>Ink layer thickness detection method based on machine vision</title><description>The invention discloses an ink layer thickness detection method based on machine vision. The method includes the following implementation steps that 1, ink single-color on-site color lumps are manufactured, and density values of the ink single-color on-site color lumps are measured; 2, images of the ink single-color on-site color lumps and digital color information of the images are obtained; 3, a model of mathematic relation between the digital color information of the images of the ink single-color on-site color lumps and the density information is established; 4, the thicknesses of ink layers are obtained through the digital color information of the images of the ink single-color on-site color lumps, and then detection on the thicknesses of the ink layers with the yellow ink Y, the magenta ink M, the cyan ink C and the black ink K on the basis of the machine vision is achieved. According to the method, the thicknesses of the ink layers are obtained through the digital color information of the images of the</description><subject>MEASURING</subject><subject>MEASURING ANGLES</subject><subject>MEASURING AREAS</subject><subject>MEASURING IRREGULARITIES OF SURFACES OR CONTOURS</subject><subject>MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2014</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLDxzMtWyEmsTC1SKMnITM7OSy0uVkhJLUlNLsnMz1PITS3JyE9RSEosTk1RAPETkzMy81IVyjKLgdI8DKxpiTnFqbxQmptB0c01xNlDN7UgPz61uCAxOTUvtSTe2c_QwMTAxMLM0NjRmBg1ANwHL60</recordid><startdate>20140917</startdate><enddate>20140917</enddate><creator>FAN CAIXIA</creator><creator>FENG YU'NA</creator><creator>JING CUINING</creator><creator>HU TAO</creator><creator>LIU HU</creator><scope>EVB</scope></search><sort><creationdate>20140917</creationdate><title>Ink layer thickness detection method based on machine vision</title><author>FAN CAIXIA ; FENG YU'NA ; JING CUINING ; HU TAO ; LIU HU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN104048613A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2014</creationdate><topic>MEASURING</topic><topic>MEASURING ANGLES</topic><topic>MEASURING AREAS</topic><topic>MEASURING IRREGULARITIES OF SURFACES OR CONTOURS</topic><topic>MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>FAN CAIXIA</creatorcontrib><creatorcontrib>FENG YU'NA</creatorcontrib><creatorcontrib>JING CUINING</creatorcontrib><creatorcontrib>HU TAO</creatorcontrib><creatorcontrib>LIU HU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>FAN CAIXIA</au><au>FENG YU'NA</au><au>JING CUINING</au><au>HU TAO</au><au>LIU HU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Ink layer thickness detection method based on machine vision</title><date>2014-09-17</date><risdate>2014</risdate><abstract>The invention discloses an ink layer thickness detection method based on machine vision. The method includes the following implementation steps that 1, ink single-color on-site color lumps are manufactured, and density values of the ink single-color on-site color lumps are measured; 2, images of the ink single-color on-site color lumps and digital color information of the images are obtained; 3, a model of mathematic relation between the digital color information of the images of the ink single-color on-site color lumps and the density information is established; 4, the thicknesses of ink layers are obtained through the digital color information of the images of the ink single-color on-site color lumps, and then detection on the thicknesses of the ink layers with the yellow ink Y, the magenta ink M, the cyan ink C and the black ink K on the basis of the machine vision is achieved. According to the method, the thicknesses of the ink layers are obtained through the digital color information of the images of the</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | MEASURING MEASURING ANGLES MEASURING AREAS MEASURING IRREGULARITIES OF SURFACES OR CONTOURS MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS PHYSICS TESTING |
title | Ink layer thickness detection method based on machine vision |
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