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- W2362840821 abstract "K-means clustering algorithm and rough entropy were mainly used to segment the image for analyzing the image.K-means clustering algorithm and rough entropy were combined to segment the image of rock,and gain the information of the rock rift.K-means clustering algorithm was used to segment the image then the algorithm based on rough entropy was used to extract objects from the segmentation results,so as to achieve multi-threshold segmentation.By contrasting the final result,it shows that the effect of using K-means clustering algorithm based on rough entropy to segment the multi-object rock image is better than other methods,and the result is clear and more valuable.It means that the ameliorated method is more valid." @default.
- W2362840821 created "2016-06-24" @default.
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- W2362840821 date "2008-01-01" @default.
- W2362840821 modified "2023-09-26" @default.
- W2362840821 title "Rock Image Segmentation Based on Rough Entropyand K-Means Clustering Algorithm" @default.
- W2362840821 hasPublicationYear "2008" @default.
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