1 February 1998 Geometry-driven diffusion: an alternative approach to image filtering/segmentation in diagnostic imaging
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Abstract
The major goal of this survey is to provide the reader with the motivation of image filtering and segmentation in diagnostic imaging, with the brief overview of the state-of- the-art of nonlinear filters based on the geometry-driven diffusion (GDD), and with a possible generalization of the GDD-filtering towards the complex problem of image segmentation, stated as minimization of particular energy functionals. An example of the application of the GDD- filtering to the task of 3D visualization of MRI data of the brain is illustrated and discussed in the paper.
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Ivan Bajla, Ivan Bajla, } "Geometry-driven diffusion: an alternative approach to image filtering/segmentation in diagnostic imaging", Proc. SPIE 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences, (1 February 1998); doi: 10.1117/12.301387; https://doi.org/10.1117/12.301387
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