http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110009551-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-001 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T1-20 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T1-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 |
| filingDate | 2019-04-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8fee86e17ec72a84f66d0d7aaa0edb11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_36c8fc9e8e8708294bc6681a3d07f05b |
| publicationDate | 2019-07-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110009551-A |
| titleOfInvention | A real-time blood vessel enhancement method based on CPU-GPU co-processing |
| abstract | The invention discloses a real-time blood vessel enhancement method based on CPU-GPU collaborative processing. The method includes the following steps: 1. Using CPU to complete image data acquisition, and using GPU to decode JPG data into YUV data; 2. In the CPU, Y component Perform down-sampling processing; 3. In the GPU, perform guided filtering processing on the down-sampled Y component; 4. Copy the data processed in step 3 to the CPU, and in the CPU will guide the filtered Y component on the processed Sampling to the original data size; 5. Combine the Y component processed in step 4 with the original Y component in the GPU; 6. Combine the UV component to convert the processed data into RGBA format to obtain the final enhanced image and display it. The method of the invention uses the CPU and the GPU to cooperate to process the real-time blood vessel enhancement, and optimizes the traditional blood vessel enhancement that only uses the CPU for processing, so that the processing speed is greatly improved. The method is built on the conventional CPU and GPU architecture, which is easy to program, highly portable, and can be widely used. |
| priorityDate | 2019-04-09-04:00^^<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/CID22978774 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419701332 |
Total number of triples: 16.