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Wavelet and curvelet moments for image classification: Application to aggregate mixture grading
Pattern Recognition Letters, no. 10 (2008): 1557-1564
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We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective approach compared to the classification of individual sizes and shapes. While a dominant (additive, stationary) Gaussian noise component in image data will ensu...More
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