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Multi-image gradient-based algorithms for motion measurement using wavelet transform

  • Research Article
  • Published:
Frontiers of Electrical and Electronic Engineering in China

Abstract

A multi-image wavelet transform motion estimation algorithm based on gradient methods is presented by using the characteristic of wavelet transform. In this algorithm, the accuracy can be improved greatly using data in many images to measure motions between two images. In combination with the reliability measure for constraints function, the reliable data constraints of the images were decomposed with multi-level simultaneous wavelet transform rather than the traditional coarse-to-fine approach. Compared with conventional methods, this motion measurement algorithm based on multi-level simultaneous wavelet transform avoids propagating errors between the decomposed levels. Experimental simulations show that the implementation of this algorithm is simple, and the measurement accuracy is improved.

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Authors and Affiliations

  1. School of Mechanical Engineering, South China University of Technology, Guangzhou, 510640, China

    Qinghua Lu & Xianmin Zhang

  2. Department of Mechatronics, Foshan University, Foshan, 528000, China

    Qinghua Lu

Authors
  1. Qinghua Lu
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  2. Xianmin Zhang
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Correspondence to Qinghua Lu.

Additional information

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Translated from Journal of South China University of Technology (Natural Science Edition), 2007, 35(1): 39–43 [译自: 华南理工大学学报(自然科学版)]

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Lu, Q., Zhang, X. Multi-image gradient-based algorithms for motion measurement using wavelet transform. Front. Electr. Electron. Eng. Ch 3, 183–187 (2008). https://doi.org/10.1007/s11460-008-0032-4

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  • DOI: https://doi.org/10.1007/s11460-008-0032-4

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