http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109101523-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7256b03738eed4e84ba4080734f263ee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d5cb5e6f870e4dbe3ce0f13bf3bc42f2 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
filingDate | 2018-06-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_675ee667e49550f4b3c5d3e16d13ada9 |
publicationDate | 2018-12-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-109101523-A |
titleOfInvention | Image processing method, device and electronic equipment |
abstract | Embodiments of the present invention provide an image processing method, device, and electronic equipment, wherein the method includes: acquiring an original image of display information, and using a convolutional neural network to extract features of the original image to obtain a feature image; according to the feature image, determine the sensitive information detection area of the original image; when the original image is determined to be a sensitive image according to the sensitive information detection area, filter the original image; and then improve the sensitivity of the sensitive image by reducing the number of times of using the convolutional neural network recognition efficiency. |
isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109740548-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111738290-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110163300-A |
priorityDate | 2018-06-14-04:00^^<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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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID426083203 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID67125 |
Total number of triples: 19.