http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114862874-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_65682d3e437c225d79b93953b4b26392 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20024 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02T90-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20116 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-002 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 |
| filingDate | 2022-05-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d5ee8d042efb907bc588649f3c4839b7 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_307a1333dca0e6ee64a73755546f1a33 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_56da4cd01e0613ee6289cd32ccbbfc53 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c1cd7295722d827e783d34b3f52daeee |
| publicationDate | 2022-08-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114862874-A |
| titleOfInvention | Active contour model identification method based on partial pre-segment fitting bias field correction |
| abstract | The present application discloses an active contour model identification method based on partial pre-segment fitting bias field correction, which belongs to the technical field of computer image segmentation, and is characterized in that it includes the following steps: first, a pre-fitting function of the local area is defined; then , proposed a local pre-segment fitting energy function based on the bias field theory, and deduced the global energy function, and gave the optimal solution of the bias field estimate: in the calculation process of energy minimization, the New variational level set formula and gradient flow formula to limit the range of data-driven terms and improve the slope of the curve, using the optimized distance rule term and neighborhood mean filtering method to regularize and curve the level set function respectively smooth. By using the method of the present application, the amount of calculation can be reduced, and the robustness of the model to parameters can be improved. |
| priorityDate | 2022-05-20-04:00^^<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/substance/SID453399612 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID13506 |
Total number of triples: 21.