http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110579473-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-8477 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30136 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N1-32 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N1-4044 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-84 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-204 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-84 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate | 2019-09-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-03-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-03-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110579473-B |
| titleOfInvention | An automatic full-field quantitative statistical distribution characterization method for dendrites in metallic materials |
| abstract | The invention belongs to the technical field of quantitative statistical distribution analysis of microstructure of metal materials, and relates to an automatic full-field quantitative statistical distribution characterization method of dendrite structure in metal materials. Based on the method of deep learning, the invention marks and trains the characteristic map of the dendrite structure to obtain a corresponding target detection model, and realizes automatic identification and marking of the center of the dendrite structure in a full field of view. The characteristic parameters such as the full-field morphology, position, number, and spacing of all dendrites in a wide range are obtained, and the quantitative statistical distribution characterization of dendrites in metal materials is realized. The method is accurate, automatic, efficient and quantitative. Statistical distribution is characterized by a large amount of information, and is more statistically representative than the conventional measurement of the characteristic size of the dendrite structure in a single field of view. |
| priorityDate | 2019-09-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 28.