摘要
提出了一种新型的火灾探测方法：基于ＢＰ神经网络的火灾图象探测方法。该方法利用了早期火灾火焰的形体变化特性，用图象处理的方法提取特征信息，最后利用人工神经网络来进行火灾判别。与传统方法比较，人工神经网络更适合处理不完善和模糊的信息，具用更好的可靠性和容错性。最后给出了实验结果，进行了分析。
A new fire detection method, BP networks based image fire detection method, is presented in this paper. Shape changing characteristics of flames in early stage of fires, abstracted by means of digital image processing, are applied as the criterion of fire detection. BP networks is used for the final decision making. As shown in experimental results, the new method has more reliability and fault toleration ability compared with traditional method.
出处
《火灾科学》
CSCD
1999年第3期49-56,共8页
Fire Safety Science
基金
国家自然科学基金
