一种优化相似性度量的迭代图像配准算法。

IF 1.5 4区工程技术

Journal of Research of the National Institute of Standards and Technology Pub Date : 2010-02-01 Print Date: 2010-01-01 DOI:10.6028/jres.115.001

Wei Chu, Li Ma, John Song, Theodore Vorburger

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引用次数: 12

摘要

提出了一种基于Newton-Raphson迭代的刚体变换图像配准算法。利用Newton-Raphson方法优化指定的相似度度量，计算出由x、y方向的平移量和z周围的旋转角度组成的一组变换参数。通过对名义上相同的NIST标准物质(SRM 2461)标准弹壳的地形测量对进行配准和相关测试，获得了很好的配准精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

An Iterative Image Registration Algorithm by Optimizing Similarity Measurement.

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An Iterative Image Registration Algorithm by Optimizing Similarity Measurement.

A new registration algorithm based on Newton-Raphson iteration is proposed to align images with rigid body transformation. A set of transformation parameters consisting of translation in x and y and rotation angle around z is calculated by optimizing a specified similarity metric using the Newton-Raphson method. This algorithm has been tested by registering and correlating pairs of topography measurements of nominally identical NIST Standard Reference Material (SRM 2461) standard cartridge cases, and very good registration accuracy has been obtained.

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来源期刊

Journal of Research of the National Institute of Standards and Technology Engineering-General Engineering

自引率

33.30%

发文量

期刊介绍： The Journal of Research of the National Institute of Standards and Technology is the flagship publication of the National Institute of Standards and Technology. It has been published under various titles and forms since 1904, with its roots as Scientific Papers issued as the Bulletin of the Bureau of Standards. In 1928, the Scientific Papers were combined with Technologic Papers, which reported results of investigations of material and methods of testing. This new publication was titled the Bureau of Standards Journal of Research. The Journal of Research of NIST reports NIST research and development in metrology and related fields of physical science, engineering, applied mathematics, statistics, biotechnology, information technology.