Speckle Reducing Anisotropic Diffusion Based on Directions of Gradient

Kim, Hye Suk; Park, Keon Hee; Yoon, Hyo Sun; Lee, Guee Sang

doi:10.1109/alpit.2008.88

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Anisotropic Nonlinear Diffusion1

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Cited by 8 publications

(1 citation statement)

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“…This is a modification of the linear diffusion methods (Perona and Malik 1990;Smolka 2008;Kim et al 2008;Gallea et al 2008). It is more powerful in reducing noise in flat regions and reducing the diffusivity at the edges of image.…”

Section: Anisotropic Nonlinear Diffusionmentioning

confidence: 98%

Review of brain MRI image segmentation methods

et al. 2010

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Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain images mostly contain noise, inhomogeneity and sometimes deviation. Therefore, accurate segmentation of brain images is a very difficult task. However, the process of accurate segmentation of these images is very important and crucial for a correct diagnosis by clinical tools. We presented a review of the methods used in brain segmentation. The review covers imaging modalities, magnetic resonance imaging and methods for noise reduction, inhomogeneity correction and segmentation. We conclude with a discussion on the trend of future research in brain segmentation.

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Section: Anisotropic Nonlinear Diffusionmentioning

confidence: 98%