Study on Image Recognition Application Based on Multi Features Fusion

DOI

10.2991/icsste-15.2015.175How to use a DOI?

Keywords

Image Recognition; Multi Feature Fusion; Feature Extraction

Abstract

From low to high, information fusion can be divided into three levels. The feature-level fusion not only keeps the most original information, but also overcomes the unstable and large characteristics of original data. In this article, we take six types of B ultrasound liver images as the research objects, and with multi-feature fusion technology and its application in medical image recognition, made in-depth study on feature extraction of image color, texture and shape, and then apply them in multi-features fusion.

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  - Deng Lelai
AU  - Huang Xiaoming
PY  - 2015/04
DA  - 2015/04
TI  - Study on Image Recognition Application Based on Multi Features Fusion
BT  - Proceedings of the 2015 International Conference on Social Science and Technology Education
PB  - Atlantis Press
SP  - 656
EP  - 659
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsste-15.2015.175
DO  - 10.2991/icsste-15.2015.175
ID  - Lelai2015/04
ER  -