Automatic image registration by stochastic optimization of mutual information

被引：0

作者：

Cole-Rhodes, A ^{[1
]}

Adenle, A ^{[1
]}

机构：

[1] Morgan State Univ, Dept Elect & Comp Engn, Baltimore, MD 21251 USA

来源：

2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING SIGNAL, PROCESSING EDUCATION | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Image registration is the process by which we determine a transformation that provides the most accurate match between two images. The search for the matching transformation can be automated with a suitable choice of metric, but can be very time-consuming and tedious. In this paper, we consider a registration algorithm that combines a simple yet powerful search strategy based on optimization of mutual information using a stochastic gradient, together with a wavelet-based multi-resolution pyramid. It is tested using a pair of fundus eye images, which is matched using a six-parameter affine transformation. This extends previous work based on the three-parameter transformation [7]. The registration algorithm is implemented in a multiresolution manner using a wavelet pyramid.

引用

页码：313 / 316

页数：4

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