Study on Image Recognition Application Based on Multi Features Fusion
- https://doi.org/10.2991/icsste-15.2015.175How to use a DOI?
- Image Recognition; Multi Feature Fusion; Feature Extraction
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.
- © 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 -