Research on flame image processing of climbazole production line based on RGB+HSI color model

Zhan Su, HaiQi Xi, Yan Gao, Lin Zhang, Ben Yang, Zhifeng Zhang
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Abstract

The existing fire alarm system has strict distance and installation requirements between the fire point and the detector, and is easy to be interfered by environmental factors. It is not suitable for places with large space and many interference factors such as Climbazole production line. This paper proposed a flame image detection technology based on RGB+HSI color model and the detection system is designed and developed. The experimental results show that the flame image detection system based on RGB+HSI color model has the better recognition efficiency, which meets the real-time and accuracy requirements for early flame image detection in Climbazole production line.
基于RGB+HSI颜色模型的克里巴唑生产线火焰图像处理研究
现有的火灾报警系统在火点与探测器之间有严格的距离和安装要求,容易受到环境因素的干扰。不适用于空间大、干扰因素多的场所,如克里巴佐尔生产线。本文提出了一种基于RGB+HSI颜色模型的火焰图像检测技术,并设计开发了火焰图像检测系统。实验结果表明,基于RGB+HSI颜色模型的火焰图像检测系统具有较好的识别效率,满足了克里巴唑生产线早期火焰图像检测的实时性和准确性要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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