Optimization of Image Segmentation Method Based on Improved Wavelet Algorithm

DOI

10.2991/amcce-15.2015.179How to use a DOI?

Keywords

image segmentation; wavelet transform; multi scale

Abstract

In the optimization image segmentation process, the traditional algorithm is used for segmentation, because the calculation method is complex, image segmentation accuracy rate is low, the clarity is not high, when the amount of information in the image segmentation is very large, the time consumption is big. Aiming at the above problems, an improved image optimization segmentation method is proposed based on wavelet algorithm. The image feature is obtained based on wavelet transform, the image characteristics can be reacted in local information, the advantage is obvious, the adjacent scale wavelet coefficients multiplication method isused to remove the noise, and the wavelet algorithm and graph theory algorithm is fused to generate the minimum spanning tree, the accurate image segmentation is obtained with minimum spanning tree. The simulations show the method is applied in image segmentation, the precision is high, and it has strong applicability.

Copyright

© 2015, 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  - Li Sun
PY  - 2015/04
DA  - 2015/04
TI  - Optimization of Image Segmentation Method Based on Improved Wavelet Algorithm
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 782
EP  - 785
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.179
DO  - 10.2991/amcce-15.2015.179
ID  - Sun2015/04
ER  -