http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115049672-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a0c696cd3b481d4dd717b4203e07e7f2 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20192 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30136 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-008 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-13 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 |
| filingDate | 2022-08-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_569cbe2394d71bd4f00319ed8db30206 |
| publicationDate | 2022-09-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-115049672-A |
| titleOfInvention | Detection method of phosphating film defects on metal aluminum surface based on computer vision |
| abstract | The invention discloses a computer vision-based detection method for phosphating film defects on metal aluminum surface, and relates to the field of computer vision; the method includes: acquiring a grayscale image of a phosphating film on metal aluminum surface; acquiring each grayscale image in the grayscale image The degree of gray value difference between a pixel point and its neighbor pixels; mark the first type pixel point and the second type pixel point; obtain the degree of continuity of each first type pixel point; obtain each pixel point and its neighbors The degree of attention between the first type of pixels in the Perform replacement to complete the enhancement of the grayscale image; determine whether the phosphate film on the metal aluminum surface is qualified according to the number of edge line pixels of the enhanced grayscale image; There are technical problems of missed detection, low detection accuracy and low detection efficiency. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115294107-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115294101-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115802056-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115457035-A |
| priorityDate | 2022-08-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 26.