A Finding Method of Shape Theme Based on Wavelet Time Series

DOI

10.2991/iccia.2012.247How to use a DOI?

Keywords

time series, shape matching, Haar wavelet, Euclidean distance

Abstract

Finding shape theme has raised great attention in the database of shapes. According to the problem of incompatible about accuracy and complexity in the shape theme search algorithm ,this paper proposed a finding theme algorithm using the multi-resolution analysis of wavelet and the processing capability of reduction dimension of time sequence , accurately calculated the similarity between different objects combining with the Euclidean distance formula, and achieved satisfactory results. Through the comparison between the real data sets to test and traditional shape theme algorithm, it shows that the method has good stability and reliability, and ensure the real-time processing ability of the closed contour shape’s overall matching.

Copyright

© 2013, 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  - Qiu Guo
AU  - Lu Guo
PY  - 2014/05
DA  - 2014/05
TI  - A Finding Method of Shape Theme Based on Wavelet Time Series
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1010
EP  - 1013
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.247
DO  - 10.2991/iccia.2012.247
ID  - Guo2014/05
ER  -