Fast 3D adaptive filtering for simulation focusing gradient

Wen-Yu Liu; Hua Li; Guang-Xi Zhu

doi:10.1117/12.441501

20 September 2001 Fast 3D adaptive filtering for simulation focusing gradient

Wen-Yu Liu, Hua Li, Guang-Xi Zhu

Proceedings Volume 4552, Image Matching and Analysis; (2001) https://doi.org/10.1117/12.441501
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Based on the model of fuzzy function and the distance from objects to lens, a new 3D adaptive stratified filtering of volume image is developed. The volume image is split into several non-intersected sub-level volume images along the z- axis, each sub-level volume image is regard as a 2D image, and processed by 2D filtering. The problems of boundary division and anti-alias are also solved through introducing alpha value. The efficiency of stratified filtering is also improved, and the error of stratified filtering is less than given a constant P. The experimental results show that this is an effective method.

Citation Download Citation

Wen-Yu Liu, Hua Li, and Guang-Xi Zhu "Fast 3D adaptive filtering for simulation focusing gradient", Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); https://doi.org/10.1117/12.441501

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