Computationally efficient nonlinear edge preserving smoothing of n-D medical images via scale-space fingerprint analysis

Autor: Reutter, Bryan W., Algazi, V. Ralph, Huesman, Ronald H.

Publikováno v: Reutter, Bryan W.; Algazi, V. Ralph; & Huesman, Ronald H.(2000). Computationally efficient nonlinear edge preserving smoothing of n-D medical images via scale-space fingerprint analysis. Lawrence Berkeley National Laboratory. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/69c0f7vv

Nonlinear edge preserving smoothing often is performed prior to medical image segmentation. The goal of the nonlinear smoothing is to improve the accuracy of the segmentation by preserving changes in image intensity at the boundaries of structures of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::40dbd96d691e7806cc407f3d12cdbc9b
http://www.escholarship.org/uc/item/69c0f7vv

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