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Independent component analysis (ICA) is a statistical technique where the goal is to represent a set of random variables as a linear transformation of statistically independent component variables. This paper proposes a new extended model for CT medical image de-noising, which is using independent component analysis and dynamic fuzzy theory. Firstly, a random matrix was produce to separate the CT...
Dynamic fuzzy logic (DFL) is given to solve dynamic fuzzy data problems. Dynamic fuzzy data exists universally, especially in the domain of medical image processing performance evaluation. This paper proposes a new evaluation model for CT medical image de-noising, which is using wavelet transform and dynamic fuzzy logic. Firstly, the CT medical image was decomposed by wavelet transform to obtain the...
Digital subtraction angiography (DSA) is a type of medical imaging technique used in interventional radiology, which can eliminate the interferential background and give prominence to blood vessels by computer processing. By analyzing the characteristics of DSA medical images, this paper proposes a new solution for this particular image de-noising, which is using improved soft thresholding. In order...
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