http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110097523-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e61dd9097ef0c42d9e8c1fd4e1d1ec3c |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A90-10 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-003 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N7-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N5-21 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24147 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04N7-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04N5-21 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2019-05-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_131ac82004c5cbbb1dddfae0a5175f51 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_264e36647b22a0cc861e8c0ff1b5ce07 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5447dffe0205639d35236cd7693ec40f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8623c28723d561ba1a458f4304ba7887 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2b260f9f60b39baa161254ae5d819753 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2fa6793335154c21aaf5640c9d0ec318 |
| publicationDate | 2019-08-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110097523-A |
| titleOfInvention | A video image fog concentration classification and adaptive dehazing method |
| abstract | The invention provides a video image fog concentration classification and adaptive defogging method. The weather is monitored through a CCTV monitoring system, the processed images of each frame are saved to a local folder, and the peak signal-to-noise value of each frame of image is obtained. ratio, the information entropy of each frame of image, and the edge intensity feature information of each frame of image is extracted, the fog level density of each frame of image is pre-marked, and it is divided into fog and mist in dense fog, The foggy video image collected in real time is input and processed in frames, and the feature information of the foggy video image collected in real time is obtained. Through the K-nearest neighbor classification algorithm, fog-level classification is performed on each frame of video image. The present invention is mainly used in the research on the sharpening processing of CCTV degraded video images, classifying the fog concentration of the foggy video images and performing adaptive dehazing processing on the video images according to the classification results, thereby improving the adaptive ability of the video dehazing algorithm , to meet the real-time and space-time consistency requirements of video dehazing. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112285105-A |
| priorityDate | 2019-05-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID25572 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197 |
Total number of triples: 26.