http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-104361348-B

Outgoing Links

Predicate Object
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23213
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-56
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-50
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-66
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
filingDate 2014-10-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2017-10-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2017-10-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-104361348-B
titleOfInvention A flower identification method on an intelligent terminal
abstract The invention discloses a method for identifying flowers on an intelligent terminal, which includes a training process and an automatic classification process. The training process extracts information related to flower categories from pictures by performing local shape feature extraction, feature encoding, feature multi-layer clustering, global shape feature extraction and global color feature extraction, and feature fusion. Then use the linear support vector machine for training to obtain the support vector machine model; the automatic classification process on the intelligent terminal, through feature extraction and use KD tree structure for fast feature extraction, and then use the support vector machine model for classification, and finally according to The flower pictures taken by the user filter the displayed pictures and show the results to the user. The invention realizes the automatic identification of flower categories on the intelligent terminal, and has high speed, small storage capacity, high accuracy rate and good user experience.
priorityDate 2014-10-27-04:00^^<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/SID415713197
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID25572

Total number of triples: 17.