An Improved Denoising Method of Structured Light Image Based on Wavelet Transform

DOI

10.2991/ammee-17.2017.55How to use a DOI?

Keywords

image processing, structured light, median filter, wavelet transforms.

Abstract

The structured light stripe images are usually subjected to a lot of noise interference, which will affect the analysis of the image, such as: the center of light stripe extraction and edge detection. In this paper, a denoising method using adaptive median filter and improved wavelet reconstruction is proposed, which is on basis of the analysis of the noise of structured light stripe images and characteristics of the two methods. The proposed method is used to denoise the structured light stripe image, and the results are compared with the traditional wavelet soft threshold denoising method and any another denoising methods. The objective evaluation results show that the denoising method proposed in this paper has better denoising effect on structured light stripe images.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gan Liu
AU  - Xinjie Shao
PY  - 2017/06
DA  - 2017/06
TI  - An Improved Denoising Method of Structured Light Image Based on Wavelet Transform
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 278
EP  - 282
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.55
DO  - 10.2991/ammee-17.2017.55
ID  - Liu2017/06
ER  -