http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-103207989-B

Outgoing Links

Predicate Object
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
filingDate 2013-03-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2016-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2016-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-103207989-B
titleOfInvention A kind of vein recognition methods of the slight insect pest blade based on principal component analysis
abstract The invention provides a kind of vein recognition methods of the slight insect pest blade based on principal component analysis, comprising: (1) does principal component analysis to former high spectrum image, get first three principal component component substitution RGB color space, composition RGB image; (2) RGB image is taken turns doing to colour edging and detect and two-dimentional rim detection, obtain initial vein image; (3) initial vein image is taken turns doing hole filling, linear space filtering, is communicated with mark operation and linear space filtering, non-vein edge pixel is filtered out; (4) to filtering out the initial vein image doing mathematics morphology processing of non-vein edge pixel, obtain final vein image. Compared with prior art, the present invention first carries out principal component analysis to the former high spectrum image of slight insect pest blade, then carries out Vein extraction computing, and in the final vein image of acquisition, master pulse and lateral vein can be by complete identifications, and most thready pulse also can be by complete identification.
priorityDate 2013-03-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415791912
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID92775
http://rdf.ncbi.nlm.nih.gov/pubchem/anatomy/ANATOMYID632
http://rdf.ncbi.nlm.nih.gov/pubchem/taxonomy/TAXID632

Total number of triples: 13.