| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0728d4031edd4efb81eb603e878407be |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10016 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-002
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0002
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-194
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-194 |
| filingDate |
2021-09-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2164ed15d01d61ed9247a3fe1e0d3a28
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_475a15ed076b089c21f9bcac61724ff2
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_897cfb3d45007637c06b0b15278ea814
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_82b63e777015deb1542383b78f9922ca
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e435cf134165a6132228d007429a7c3f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_52a700a20bb2719e30e8b45b66c9ff9c |
| publicationDate |
2021-12-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-113808089-A |
| titleOfInvention |
Water surface oil stain detection method |
| abstract |
The invention belongs to the technical field of oil stain detection, and particularly discloses a water surface oil stain detection method, which comprises the following steps: acquiring an initial water surface image, and processing the initial water surface image to obtain a final water surface image; s2: segmenting the final water surface image to obtain a target area; s3: extracting characteristic parameter values of the target area; s4: establishing a water surface oil stain detection model based on a neural network; s5: and inputting the characteristic parameter values of the target area into the water surface oil stain detection model to obtain a water surface oil stain detection result. The invention solves the problems of low practicability, high labor cost input, low detection efficiency and low accuracy in the prior art. |
| priorityDate |
2021-09-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |