http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111369515-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d9de52bba13e16028dffa8775e3f3f28
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-267
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0002
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-34
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
filingDate 2020-02-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d17c4323c573019376f16ff15cc01c6c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_88bc64826f01e350b6f33ecc67a5031c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9de2a8378ab44db371803ad45d9d140f
publicationDate 2020-07-03-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-111369515-A
titleOfInvention A computer vision-based tunnel water damage detection system and method
abstract The invention relates to a computer vision-based tunnel water damage detection system and method. The system includes: a tunnel image acquisition module: acquiring a 2D tunnel unfolded image; an image preprocessing module: cropping the 2D tunnel unfolded image to obtain several features that are consistent with the original image and save the position information of the segmented image in the original image; water damage detection module: used to input the segmented image and predict the water damage area and output the water damage prediction map; image rematching module: The prediction map is matched to the 2D tunnel unfolding image to obtain the prediction result. Compared with the prior art, the present invention greatly improves the detection efficiency, detection accuracy and reliability of tunnel water stains.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113786134-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113205133-A
priorityDate 2020-02-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962

Total number of triples: 21.