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The paper introduces three texture analysis methods of ultrasonic images based on spatial domain method. Feature parameters, including mean, variance, contrast, homogeneity, angular second moment and entropy, are achieved from gray histogram statistic, gray level difference statistic (GLDS), gray level co-occurrence matrix (GLCM). Then the above statistical feature parameters are applied for texture...
The paper introduces a kind of approach for ultrasonic image categorization based on wavelet packet denoising and texture analysis. Firstly, the texture image denoising method based on wavelet packet transform modulus maximum is adopted aiming at texture images of complicated texture and abundant details. The method can maintain image details at the same time of denoising. Then by using gray level...
High quality speech synthesis system requires effective prediction of break indices. This paper adopts a large scale corpus with five-tier break indices annotated according to C-TOBI. Based on it, several models including N-gram, artificial neural network and Markov model are employed to automatically label the break indices for unrestricted mandarin text. These approaches differ not only in models,...
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