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- W82207502 abstract "Removing the noise in meat image is one important step of non-destructive detection of meat qualities. This paper presents an improved algorithm based on multilevel median filter and reviews several algorithms used widely for denoising, such as wavelet soft-thresholding, non-local means filtering and three models based on partial differential equation. According to the feature of pixel and its neighbourhood pixels, the improved algorithm will determine whether the pixel does need filter and decide which median values in each different direction of the pixel neighbourhood will involve the filtering operation. After that, this paper compares the method noise and running time of each algorithm for removing the noise in meat image. The experimental results show that the improved algorithm is not only simple and fast, but also can remove the noise as well as maintain the image details and its overall performance of denoising is superior to other algorithms presented in this paper." @default.
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- W82207502 date "2012-04-06" @default.
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- W82207502 title "Comparison and Improvement of Algorithms for Removing the Speckle Noise in Meat Image" @default.
- W82207502 doi "https://doi.org/10.1109/iceice.2012.945" @default.
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