http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114049624-A

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filingDate 2021-11-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4ef039d061dce10fbf2fd5f0875e114a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a99a6154bf2bc58f58172a2f5fa53a87
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http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8857c2ee3cadb633b5dc95e95e32d894
publicationDate 2022-02-15-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-114049624-A
titleOfInvention A method and system for intelligent detection of ship cabins based on machine vision
abstract The invention discloses an intelligent detection method and system for ship cabins based on machine vision, and belongs to the field of intelligent monitoring. Manually select the water leakage area ROI_water in the monitoring image through the host computer; perform occlusion judgment on the water leakage area ROI_water; if there is no occlusion, use the frame difference method to detect the number of leaking water droplets, otherwise the water leakage state will not be detected; Determine whether the hull is shaking; if it is determined to be shaking, use feature point matching to perform affine transformation, use frame difference method to detect affine transformed images to detect water droplets, otherwise directly output the number of detected water droplets; manually select from the monitoring image through the host computer Water leakage area ROI_ocr; locate the position of the instrument panel characters in the cabin through edge detection and morphological operations; extract the hog feature of each character, send it to the trained SVM feature classifier, and get the category to which each character belongs.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114898308-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114992813-A
priorityDate 2021-11-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 26.