Space-Variant Gabor Decomposition for Filtering 3D Medical Images

被引：0
|
作者：
Onchis, Darian [1 ,2 ]
Istin, Codruta [3 ]
Real, Pedro [4 ]
机构：
[1] Univ Vienna, Vienna, Austria
[2] West Univ Timisoara, Timisoara, Romania
[3] Politehn Univ Timisoara, Timisoara, Romania
[4] Univ Seville, Seville, Spain
来源：
COMPUTER ANALYSIS OF IMAGES AND PATTERNS: 17TH INTERNATIONAL CONFERENCE, CAIP 2017, PT II | 2017年 / 10425卷
基金：
奥地利科学基金会;
关键词：
FRAMES;
D O I：
10.1007/978-3-319-64698-5_38
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This is an experimental paper in which we introduce the possibility to analyze and to synthesize 3D medical images by using multi-variate Gabor frames with Gaussian windows. Our purpose is to apply a space-variant filter-like operation in the space-frequency domain to correct medical images corrupted by different types of acquisitions errors. The Gabor frames are constructed with Gaussian windows sampled on non-separable lattices for a better packing of the space-frequency plane. An implementable solution for 3D-Gabor frames with non-separable lattice is given and numerical tests on simulated data are presented.
引用
收藏
页码：455 / 461
页数：7
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