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- W2370285105 abstract "The wear condition of the artillery pipe is decisive to ballistic performance of the artillery and its detection is important to the using, maintenance and life evaluation. There are two types wear on the inner surface, the one is called friction wear, which is caused by the friction between the bullet and pipe's inner surface, making the rifling edge became smoother and smoother, the another is called ablation wear, which is caused by the high temperature and pressure gas produced by the fire powder, resulting cavities and flaws on the inner surface. These two types wear exhibit different appearance and have different evaluation criterions, it's necessary to divide these two types wear and give a respective detection. In the image of the inner surface of artillery pipe, the property which tell apart the edge of the rifling and the edge of the flaw and cavity is its direction: the edge of the rifling has a certain direction and shows a character of anisotropy but the edge of the flaw and cavity has no certain direction and shows a character of general isotropy. So the degree of the direction can be employed to divide the two types edge and measure the two types wear. Base on this, the mathematic modes of the friction wear and scrape wear are established, the direction image operator and its relative algorithm is proposed and proved, which can divide and detect the ablation wear and scrape wear from the image, realizing the image detection of the artillery body pipe's wear degree." @default.
- W2370285105 created "2016-06-24" @default.
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- W2370285105 date "2004-01-01" @default.
- W2370285105 modified "2023-09-25" @default.
- W2370285105 title "The Image Detection Technique on Wear Detecting of the Artillery Pipe's Inner Surface" @default.
- W2370285105 hasPublicationYear "2004" @default.
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