Smoke Classification based on curve transform
Tiantian Tang, Linhan Dai, Zhijian Yin
Available Online June 2016.
- https://doi.org/10.2991/mecs-17.2017.148How to use a DOI?
- Smoke classification, Curvelet transform, Curvelet coefficients, Support Vector Machine
- Smoke classification based on video image plays an important role in the performance of fire warning system. This paper presents a smoke classification algorithm based on frequency domain information processing. It is a feature in the video stream image region, which is based on the frequency domain analysis of smoke characteristics. In this paper, a method of extracting features based on Curvelet transform is proposed. Firstly, the multi-scale decomposition of the smoke pattern is preprocessed, and then the effective Curvelet coefficients are extracted as far as possible. At the same time, the selected coefficients as a feature, and finally to the Support Vector Machine classifier to achieve the identification of smoke. The experimental results show that the method can effectively classify the smoke in the frequency domain.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Tiantian Tang AU - Linhan Dai AU - Zhijian Yin PY - 2016/06 DA - 2016/06 TI - Smoke Classification based on curve transform BT - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017) PB - Atlantis Press SP - 277 EP - 282 SN - 2352-5401 UR - https://doi.org/10.2991/mecs-17.2017.148 DO - https://doi.org/10.2991/mecs-17.2017.148 ID - Tang2016/06 ER -