http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105869154-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10016
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30108
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0008
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
filingDate 2016-03-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2018-10-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2018-10-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-105869154-B
titleOfInvention A Classification, Identification and Detection Method for Visible Foreign Objects and Air Bubbles in 250ml Medical Infusion
abstract The invention discloses a method for classifying, identifying and detecting visible foreign matter and air bubbles in a 250ml large medical infusion, which comprises the following steps: 1) continuously acquiring multi-frame images of the large infusion being detected; 3) Image segmentation: use the frame difference method based on the maximum information entropy to obtain the segmented image for the filtered image; 4 Defect edge extraction: use the SUSAN algorithm to extract the edges of visible foreign objects and bubbles; 5) Image features Extraction Algorithm: Through the research and analysis of defect feature extraction, it is used to describe the shape, gray level and motion characteristic parameters of visible foreign objects and bubbles. The classification and identification of visible foreign matter and air bubbles is realized, and various defects can be classified and identified with high precision and the defects containing different types are removed to different defective product areas.
priorityDate 2015-09-23-04:00^^<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/compound/CID3715
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419505305

Total number of triples: 17.