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- W2379718879 abstract "It is hard to distinguish the fracture images for the complicate texture structure of Zr-4 alloy,This article used 5 different wavelets to decompose the SEM images of the alloy Zr-4 to obtain its energy and entropy.With the data,we drew a conclusion that Db4 wavelet and energy norm L1 were more effective to extract image characteristic of different life-span.Then an energy change at the direction of fracture extension was studied to find the relationship between them.With this result,an investigation between the fracture(4000X and 50X) under different life-span and energy at every frequency band was conducted." @default.
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- W2379718879 date "2006-01-01" @default.
- W2379718879 modified "2023-09-26" @default.
- W2379718879 title "Feature extraction of Zr-4 low fatigue fracture images and fracture analysis" @default.
- W2379718879 hasPublicationYear "2006" @default.
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