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Edge detection is one of the most important elements in medical image processing. This paper presents an adaptive facet model-based edge detection algorithm(A-facet). The size, form and direction of the moving window for facet fitting is adaptively steered by image local anisotropic features. Performance comparison is carried out between the proposed adaptive facet algorithm and the frequently used...
For image denoising and edge keeping, an adaptive diffusion coefficient scheme based on the traditional P-M model is proposed in this paper. The edge detection operator which reflects the edge information is introduced to obtain the optimum gradient threshold, not as same as using the constant value K in the classical diffusion coefficient equation. Experimental results either from the ideal images...
Noise having Gaussian-like distribution is very often encountered during image acquisition. Tranditional enhancement methods (space domain and frequency domain) can reduce noise, but also are easy to produce blurred edge. So 5-parameter PWL nonlinear transformation is used to enhance image and reduce noise. A satisfactory combination of image enhancement and noise attenuation can be achieved by different...
In order to sharpen image details and reducing noise, based on the multi-analysis wavelet threshold denoising method, a Labeling-based block-matching and wavelet transform filtering method combine hard and soft threshold denoising approaches (BWHS) is proposed in this paper. First, we estimate the noise variance of image. Second compute the matching blocks, and construct the 3D data array of those...
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