http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-1430438-A2

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_b37014766a57d712bba498b84d48e0ef
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30128
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-66
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-66
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-69
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
filingDate 2002-09-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9763337528e7a63fea8d057b1b34433d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fb63c2a54f707523a2f9e2b0d6771265
publicationDate 2004-06-23-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber EP-1430438-A2
titleOfInvention Method for identifying and quantifying characteristics of seeds and other objects
abstract The invention provides a method for identifying or quantifying characteristics of interest of unknown objects, comprising training a single neural network model with training sets of known objects having known values for the characteristics; validating the optimal neural network model; and analyzing unknown objects having unknown values of the characteristics by imaging them to obtain a digital image comprising pixels representing the unknown objects, background and any debris; processing the image to identify, separate, and retain pixels representing the unknown objects from pixels and to eliminate background and debris; analyzing the pixels representing each of the unknown objects to generate data representative of image parameters; providing the data to the flash code deployed from the candidate neural network model; analyzing the data through the flash code; and receiving output data (the unknown values of the characteristics of interest of the unknown objects) from the flash code in a predetermined format.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-103324959-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-103324959-B
priorityDate 2001-09-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
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Total number of triples: 23.