http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109615630-A

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filingDate 2019-01-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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publicationDate 2019-04-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-109615630-A
titleOfInvention Microstructure analysis method of semi-continuous casting Al-Si alloy based on image processing technology
abstract The invention discloses a method for analyzing the microstructure of a semi-continuously cast aluminum-silicon alloy based on an image processing technology. The defects are detected and removed; S3, the microstructure is segmented and analyzed based on K-means clustering and morphological methods. The experimental comparison results show that the method of segmenting and analyzing the metallographic structure based on K-means clustering and morphological methods can accurately segment most of the microstructures in the semi-continuously cast aluminum-silicon alloy images, and can accurately count the corrected iron. The microstructure in the phase image and the corrected silicon phase image, including the area information of the microstructure of small particles, and the area distribution interval of the statistical microstructure.
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