Fast Global Motion Estimation Algorithm for Microscopic Image Sequences

被引：0

作者：

Zhu, Xiaotao ^{[1
]}

Yu, Mei ^{[1
]}

Wang, Yigang ^{[2
]}

Jiang, Gangyi ^{[1
]}

机构：

[1] Ningbo Univ, Fac Informat Sci & Engn, Ningbo 315211, Peoples R China

[2] Zhejiang Univ, Ningbo Inst Technol, Dept Informat, Hangzhou 315010, Zhejiang, Peoples R China

来源：

INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS, PTS 1 AND 2 | 2010年

关键词：

Global motion estimation; parameter model; outlier detection; extracting feature;

D O I：

10.4028/www.scientific.net/AMM.20-23.1103

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a fast global motion estimation algorithm is proposed to speed up the processing of microscopic image sequence. A translation model based on non-linear density estimation is adopted by the proposed algorithm. To speed up the process, three-level pyramid is used. Noise detection and feature pixel extraction run simultaneously in each pyramid level. Then the motion parameters is estimated only with the feature pixels. The experimental results show that the computational complexity of the proposed algorithm is reduced much while estimation accuracy is maintained compared with the MPEG-4 algorithm.

引用

页码：1103 / +

页数：3

共 8 条

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