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The more application of visualization techniques in medicine, geology and other fields is employed, but less use in structural damage detection area. This paper presents visualization of damaged rail, in which the damage has been identified via wavelet transform. First, a simulation of intact and single damages rail was carried out. Then, the displacement modes of intact and damaged rail are extracted...
In order to discriminate normal and abnormal heart sounds (HSs) accurately and effectively, a new method for clinical diagnosis of the heart valve diseases is proposed. The method is composed of three stages. The first stage is the preprocessing stage. During the pre-processing stage, the improved wavelet threshold shrinkage denoising algorithm is used for the noise reduction of the measured HSs....
In the paper, a new sharing secret algorithm in stego images with authentication is presented. The proposed approach employs a novel secret image sharing scheme based on set partitioning in hierarchical trees (SPIHT) algorithm, uses two stego blocks instead of a single block for authentication, and designs the check bits by effectively combining existing authentication ideas with Hamming codes. As...
This paper presents an image coding technique based on contourlet transform. The redundancy of the contourlet transform is eliminated by switching the LP decomposition step to separable wavelet transform. The transform is then optimized through a wavelet coefficient weighting process in order to enhance the visual quality in the image domain, and with that the directional filter bank(DFB) are employed...
High-fidelity wavelet transforms can facilitate visualization and analysis of large scientific data sets. However, it is important that salient characteristics of the original features be preserved under the transformation. We present a set of filter design axioms in the spatial domain which ensure that certain feature characteristics are preserved from scale to scale and that the resulting filters...
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