| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8325bec96e477c3ff911590b8f049444 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30136
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30168
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02P90-30 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-007
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-13
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-762 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-13
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-762
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate |
2022-08-25^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_12f42acd852ed274f5ba74c339972983
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5e610e1dd78be7178715afdb1213c240 |
| publicationDate |
2022-09-23^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-115100203-A |
| titleOfInvention |
A kind of steel bar grinding and derusting quality detection method |
| abstract |
The invention relates to the technical field of image processing, in particular to a method for detecting the quality of steel bar grinding and derusting. The method includes: constructing a database of steel bar specifications and the size of the corresponding minimum sliding window; obtaining the minimum sliding window size corresponding to the grayscale image of the steel bar to be detected based on the database; The variance and the gray mean value of each row of pixels in the sliding window area corresponding to the central axis point of each target are used to calculate the possibility of corrosion; The curvature of the edge pixels in the sliding window area is used to obtain the target abnormality degree of the sliding window area corresponding to each target central axis point; based on the variance of the gray mean value of the sliding window area corresponding to all target central axis points, the possibility index and target abnormality Degree, judge the quality of grinding and rust removal. The invention improves the detection accuracy when the quality of steel bar grinding and rust removal is detected. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115311304-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116597188-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116597188-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115937216-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116342598-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116342598-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115661120-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115661120-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115330776-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115294102-A |
| priorityDate |
2022-08-25^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |