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- W2376573946 abstract "Image analysis of metallographic plays an important role in micro - image analysis. Due to the existence of the noises, it brings some errors of image analysis. Therefore, the noises in the metallographic must be deleted before analyzing the image, which will not only make the details of the image obvious, but also make the target identified more easily. To overcome the drawbacks of the standard average filter method, an improved method of the adaptive, weighted and average filter was proposed. The impulse noises of image can be detected by applying this method, and the found noise is filtered by means of the improved method of average filter. Experimental results show that the method can remove noise effectively while preserving fine details well and has better filter performance than the standard average filter method. It has the same performance as bigger region median filter effect and can obtain the faster process speed than big region median filter." @default.
- W2376573946 created "2016-06-24" @default.
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- W2376573946 date "2005-01-01" @default.
- W2376573946 modified "2023-09-24" @default.
- W2376573946 title "An Improved Method of the Adaptive, Weighted and Average Filter for Metallographic Processing" @default.
- W2376573946 hasPublicationYear "2005" @default.
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