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Purpose Ultrasound images show a granular pattern of noise known as speckle that diminishes their quality and results in difficulties in diagnosis. To preserve edges and features, this paper proposes a fractional differentiation-based image operator to reduce speckle in ultrasound. Methods An image de-noising model based on fractional partial differential equations with balance relation between...
Ultrasound images introduce an interference pattern from noise which is known as speckle. It is speckle that diminishes its quality and leads to difficulties in diagnosis. This paper investigates fractional order differentiation and its applications in ultrasound speckle reduction. In order to preserve more texture information of image, the image de-noising model based on fractional partial differential...
LS estimator is the classical diffusion tensor estimate method. It could get optimal result with highest estimate efficiency on the condition that the noise distribution is Gaussian strictly. But it is quite not robust, for even one outlier could make the error result. M estimator is more robust than LS estimator, but its breakdown point is very low, thus it could not resist the outliers effetely...
Diffusion weighted image (DWI), based on which a diffusion tensor image (DTI) is calculated, is affected by several artifacts and noise that complicate the analysis and interpretation of DTI. As DWI is multi-boundary in nature, to get accurate boundary signals of DWI is particularly important. A new method combing bidimensional empirical mode decomposition (BEMD) with adaptive wiener filter is proposed...
Otsu algorithm is a common method in adaptive optimal threshold selection for image segmentation. It is used to calculate the optimal threshold of image segmentation by the maximal between-class variance automatically. However, the Otsu method highly depends on the distribution of the valley-peak in the image histogram, which may lose details in the segmentation of cerebrovascular in magnetic resonance...
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