An Improved Algorithm for Smoke Layer Identification in Building Fire Condition

摘要：

The smoke layer identification is an important issue in building fire hazard analysis. The existing ways of smoke layer recognition are reviewed, and a new smoke layer recognition means based on Otsu method and its 2D refinement are presented in this paper. All the methods are tested in an implementation case, and the obtained smoke layer regions are compared. The result indicates that the Otsu method is more adaptable and credible than the existing methods, and its 2D refinement inherits the advantages of original Otsu method, with enhanced capability of reflecting the smoke motion trends. The 2D Otsu method is suitable for smoke layer recognition.

关键词： building fire safety fire hazard analysis smoke layer recognition 2D Otsu method

作者: Shi Zhu Longhua Hu Shaohua Mao Long Wu

作者单位: State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, PRC

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 413-416

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）