Proceedings of the 2015 International Conference on Social Science and Technology Education

Study on Image Recognition Application Based on Multi Features Fusion

Authors
Deng Lelai, Huang Xiaoming
Corresponding Author
Deng Lelai
Available Online April 2015.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2015 International Conference on Social Science and Technology Education
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2015
ISBN
978-94-62520-60-8
ISSN
2352-5398
DOI
https://doi.org/10.2991/icsste-15.2015.175How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/icsste-15.2015.175
ID  - Lelai2015/04
ER  -