http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-104008543-A

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c85ddebe82cec2fa506f0ef303488c93
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
filingDate 2014-05-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_84e79b5bfb1eed4d7b51cf29c10c3eb6
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_006f7cdb505f7c78e9f39427807c0917
publicationDate 2014-08-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-104008543-A
titleOfInvention Image fusion quality evaluation method
abstract The invention discloses an image fusion quality evaluation method. The image fusion quality evaluation method comprises the steps of obtaining source images, carrying out image preprocessing, carrying out image fusion and carrying out fusion quality evaluation. According to the step of obtaining the source images, the source images need to be synchronous in time and cover the same area in space. According to the step of carrying out image preprocessing, the quadratic polynomial registration method is adopted and the nearest neighbor interpolation method is adopted for resampling. According to the step of carrying out image fusion, the fusion method combining the multiscale analysis method and the component substitution method is adopted for the source image to obtain fusion images through different fusion methods. According to the step of carrying out fusion quality evaluation, cross entropy and structural similarity of the fusion images and the source images are calculated, a weighting function model of the cross entropy and the structural similarity is built, and then a total fusion quality evaluation value under a preset weight is calculated. According to the image fusion quality evaluation method, the problems that evaluation indexes are multiple and related and subjective evaluation varies from person to person in a traditional fusion quality evaluation method are solved. The image fusion quality evaluation method is simple and universal.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106713741-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109448037-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019114677-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109949270-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109448037-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107798676-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107798676-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106790399-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110335221-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110335221-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110555818-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110555818-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109859180-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109636759-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112434610-A
priorityDate 2014-05-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID25572

Total number of triples: 28.