http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113221919-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d3207dcd739d3c5df591ffe2af20af31 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-462 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-50 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46 |
| filingDate | 2021-05-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_43349dc3330eb744b2f2c8f5784b96b9 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f0b47af4cc9561f5b20b041023136b4f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2b217840cec34e8db2cf0284a9793579 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c94c7f089a7b38bc555b58652be02ffb http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_627c2d9711d8687531b0639e25dc9994 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_be5c8876c7760444805fcb3c1ca129ca http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_92da15e38b239097163e9046decb28b3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e39f9ae29545c69711f3575d270d9dec http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_415b1db2ec39986bc5023054bc9e9a40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3de68acc37322f2fa2afd244f98b5cc2 |
| publicationDate | 2021-08-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113221919-A |
| titleOfInvention | Feature extraction method and electronic device for coal slime particle image |
| abstract | The present application discloses a feature extraction method for coal slime particle images, which includes the following steps: obtaining an original image of coal slime particles, performing grayscale processing on the original image to obtain an original grayscale image; and performing feature transformation on the original grayscale image. Obtain the feature vector; perform differential reconstruction of the feature vector to obtain the reconstruction result; classify the reconstruction result by pattern feature to determine the particle category of the original image; when the particle category is coarse slime particles, the original image is processed by image processing The particle size distribution results of coarse slime particles are obtained; when the particle type is fine slime particles, the original image is processed by image statistics to obtain the particle size distribution results of fine slime particles; the distribution results are subjected to regression analysis to obtain the concentration of slime water. value. The invention also discloses an electronic device. After classifying the original image, the present invention uses two different methods to process the original image, so that the concentration value of coal slime water can be accurately obtained. |
| priorityDate | 2021-05-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 27.