Fire Detection Based on Image Processing in Coal Mine
Fire detection is very important in safety area,and at all times it is a difficult problem in coal mine.In this paper,a real-time fire-detector algorithm is proposed.In early stage there is no evident flame,and the temperature is law,the visible light is scarce,so the signal is difficult to achieve by ordinary color CCD.Here infrared CCD is employed as a probe,and obtained infrared image is input the computer,then fire recognition is determined based on image processing.Firstly,the grey scale binary image is partitioned by entropy threshold method and then smoothed by Median filtering.Then significant characteristics of flame are extracted and after normalization the foregoing data are input neutral network for recognition.All of the above clues are combined to reach a final decision.Experiment results show that the proposed method is successful in detecting fire or flames.In addition,it reduces the false alarms remarkably.It is also shown that the method works in a variety of conditions.The system has high validity and accuracy.
Wang Yuanbin Ma Xianmin
Xi an University of Science & Technology
国际会议
秦皇岛
英文
88-91
2010-11-05（万方平台首次上网日期，不代表论文的发表时间）