Image recognition algorithm based on Parameter Optimization of gravitational search
- https://doi.org/10.2991/icence-16.2016.113How to use a DOI?
- Gravitational search algorithm; Parameter optimization; Image recognition
Image characteristic value extracted by gravitational search algorithm improves the image retrieval accuracy. The distance between the image characteristic values is as the input value, accuracy of image recognition is calculated by pulse coupled network variates optimized of Gravitational search algorithm. The retrieval accuracy of pulse coupled network optimized by gravitational search algorithm improves by 7% at least than method of relevance feedback, color edge combined discrete wavelet transform.
- © 2016, 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 - LEI Hu PY - 2016/09 DA - 2016/09 TI - Image recognition algorithm based on Parameter Optimization of gravitational search BT - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016) PB - Atlantis Press SP - 594 EP - 598 SN - 2352-538X UR - https://doi.org/10.2991/icence-16.2016.113 DO - https://doi.org/10.2991/icence-16.2016.113 ID - Hu2016/09 ER -