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The purpose of pulse analysis system is to provide a platform for researchers to analyze, share, and store patients' pulse data. Researchers can use the system to extract features through Fast Fourier Transform (FFT), harmonics, Ensemble Empirical Mode Decomposition (EEMD), and then take advantage of the former result to gather statistics and classify patients through two-sample t-test or paired-sample...
In the paper, robust multiple watermarks of medical volume data using 3D-DWT and 3D-DFT is proposed. The part of sign sequence of 3D-DWT and 3D-DFT coefficients are used as feature vector, which is utilized to enhance the robustness against Gaussian noise, JPEG compression, Median filter and Cropping attacks. Moreover, the content of medical volume data remains unchanged with our proposed algorithm...
Medical images must be stored in a secure way to preserve unauthorized disclosure of patient data. This paper proposes an algorithm of robust multiple watermarks to serve these purposes using DWT and DFT. A part of sign sequence of DWT and DFT coefficients are used as feature vector for enhancing the robustness against rotation attacks, scaling attacks, translation attacks and cropping attacks. Moreover,...
In this paper, a statistical texture modeling method is proposed for medical volumes. As the shapes of the human organ are very different from one case to another, 3D volume morphing is applied to normalize all the volume datasets to a same shape for removing shape variations. In order to deal with the problems of high-dimension and small number of medial samples, we propose an effective image compression...
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