http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106990104-B

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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-78
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-94
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-78
filingDate 2017-04-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2019-08-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2019-08-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-106990104-B
titleOfInvention A method of based on graphical pixel localization quantitative judge austenitic stainless steel surface iron pollution
abstract A method of based on graphical pixel localization quantitative judge austenitic stainless steel surface iron pollution, belonging to material surface detection technique field.Step are as follows: configuration iron pollution tests solution, is affixed on sample surfaces after test paper dipping, carries out color developing detection and Image Acquisition to sample;It automatically extracts the RGB color chromatic value of adjustment image different location and R, G, B coordinate array data is converted into the coordinate array data with L, a, b of Lab chrominance representation;With a, (x, y, a) source data that coordinate array data are reconstructed as graphical pixel use the stainless steel colour developing value that does not pollute as calibration benchmark;Revised colour developing coordinate array data are made into three-dimensional position-colour developing figure, and colour developing value is substituted into the standard spectrum relevant to iron pollution grade pre-established and compares assessment, determine pollution position and content.The present invention can austenitic stainless steel hierarchical detection to different pollution levels, improve detection accuracy.
priorityDate 2017-04-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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