KEYWORDS: 3D modeling, Denoising, Digital filtering, Model-based design, Diffusion, Spine, Image filtering, Medical imaging, Image processing, Signal to noise ratio
In order to filter out the noise points of the medical spine model effectively
and keep the details of the model better, a model-based denoising adaptive diffusion
method based on multi-scale bilateral filter is proposed. This method firstly extracts
the contour lines of the 3D model of the spine by using bilateral filter in multi-scale
conditions, and then designs and improves the adaptive diffusion coefficient so as to
optimize and control the whole diffusion process. Then, according to the discreteness
of the image, the corresponding discrete iterative equations are established to
discretize the iterative process, and the iteration stopping criterion is designed to make
the denoising and smoothing image model stop the iteration when the correlation
between that image model and the noise is the minimum, and finally to establish the
spine image denoising model. After compared with the experimental results of the
classical PM method, Catte method and other methods, this method achieves good
filtering effect in denoising, and also preserves the edge detail features of medical
image, much better than traditional filtering algorithm.
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