Fast Global Motion Estimation Algorithm for Microscopic Image Sequences-Reference-Cited by-同舟云学术

Fast Global Motion Estimation Algorithm for Microscopic Image Sequences

Published:2010-01 Issue: Volume:20-23 Page:1103-1108
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Zhu Xiao Tao¹,Yu Mei¹,Wang Yi Gang¹,Jiang Gang Yi¹

Affiliation:

1. Ningbo University

Abstract

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.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.20-23.1103.pdf

Reference8 articles.

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