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filingDate 2020-11-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5d3f2be8ae5c417b8c83951aa639d7ed
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publicationDate 2021-02-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112330693-A
titleOfInvention Coal gangue detection method and system
abstract The invention discloses a coal gangue detection method and a coal gangue detection system, and belongs to the technical field of machine vision. The coal gangue detection method comprises the steps of obtaining a left image and a right image of a coal block area to be detected; processing the left image and the right image by using a binocular vision processing algorithm to obtain point cloud data; performing three-dimensional segmentation on the point cloud data to obtain a plurality of potential coal block area images; performing coal gangue detection on each potential coal block area image by using a pre-trained deep convolutional neural network model; and if the coal gangue is detected to exist in the potential coal block area image, acquiring the three-dimensional space coordinate information of the coal gangue for sorting the coal gangue. The coal gangue detection method and the coal gangue detection system can realize high-efficiency and high-precision detection of the coal gangue.
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