Image Feature Extraction of Moment of Inertia Based on Otsu Threshold Segmentation

DOI

10.2991/iccia.2012.278How to use a DOI?

Keywords

Image segmentation, Otsu method, Feature extraction, NMI feature

Abstract

In order to better extract image feature and recognition, a novel feature extraction algorithm of the binary image processing using Otsu combined with normalized moment of inertia (NMI) is put forward. Firstly, the image is processed into binary image and the target area is effectively segmented utilizing Otsu algorithm based on the criteria of maximal variance between-class , secondly, the NMI feature of the binary image is extracted, and finally, the extraction NMI feature is used in image recognition. Experimental results show that NMI feature of the binary image have the ability of anti-geometric distortions (translation, rotation and scaling, TRS), and anti-brightness distortions, the novel method have characteristics of simple extraction approach, little extraction parameter, easy implementation, and strong robustness.

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  - Qing Liu
AU  - Liming Zhao
AU  - Lijun Zhang
PY  - 2014/05
DA  - 2014/05
TI  - Image Feature Extraction of Moment of Inertia Based on Otsu Threshold Segmentation
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1129
EP  - 1132
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.278
DO  - 10.2991/iccia.2012.278
ID  - Liu2014/05
ER  -