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thresholding

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thresholding [′thresh‚hōld·iŋ]
(computer science)
In machine vision, the comparison of an element's brightness or other characteristic with a set value or threshold.


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of Louisville) explain nonlinear diffusion filtering techniques, histogram-based thresholding methods for image segmentation, K-means and fuzzy C- means clustering, Markov random field modeling, and deformable models.
The basic idea introduced in this article is to enhance speech quality as the first stage for Mel-cepstra based recognition systems, since it is well-known that cepstral coefficients provided better performance in clean environment, hi this speech enhancement stage, the noise robustness is improved by the perceptual wavelet packet (PWP) based denoising algorithm with both type of thresholding procedure, soft and modified soft thresholding procedure.
 
 
 
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