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- W2365202080 abstract "In this paper,the numerical analysis is studied with the help of computer technology to the numerical features of traditional Chinese art patterns. Firstly,the original gray image will be gray-scale adjusted by using the gray value transformation and a new image with adjusted gray levels will be formed. Secondly,by using the geometry invariant moments method in image analysis and processing,12 new geometry gray image invariant moments as its feature vectors will be calculated. Finally,the classification is comed on using k-means clustering method in clustering analysis. Through specific examples,we can see that the method is simple in principle,easy realization,and it will provide a reference method for computer analysis and processing of traditional Chinese art patterns." @default.
- W2365202080 created "2016-06-24" @default.
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- W2365202080 date "2013-01-01" @default.
- W2365202080 modified "2023-09-23" @default.
- W2365202080 title "Traditional Chinese patterns analysis based on histogram adjustment" @default.
- W2365202080 hasPublicationYear "2013" @default.
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