Stochastic analysis of geometric image processing using B-splines

被引：0

作者：

Rohde, G. K. ^{[1
]}

Healy, D. M., Jr. ^{[1
]}

Berenstein, C. A. ^{[1
]}

Aldroubi, A. ^{[1
]}

Rockmore, D. ^{[1
]}

机构：

[1] Univ Maryland, Dept Math, College Pk, MD 20742 USA

来源：

2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13 | 2006年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We look at the problem of extracting geometric functions such as spatial transformations and curves delineating edges to sub-pixel accuracy from noisy, sampled data. We analyze the stochastic properties of continuous B-spline interpolation to show that, in general noisy circumstances, sub-pixel accuracy is not obtainable when using low degree B-splines. Results using magnetic resonance image (MRI) data are shown.

引用

页码：5875 / 5878

页数：4

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