摘要
介绍了利用主动轮廓算法(ACM)从片光束二维激光测量图像中提取预混火焰前锋的原理,并结合V形火焰的OH平面激光诱导荧光图像分析比较了ACM和常用的阈值法．ACM从原理上消除了阈值法所包含的主观因素,自动获取最佳结果．测试结果表明当边界严重模糊时,阈值法的结果因噪声严重失去价值,而用ACM却能够获得平滑的火焰前锋．
The basic principle of tracking premixed flame fronts through active contour method （ACM） from images of 2D light-sheet laser diagnostics is introduced. The features and effects of conventional threshold method and ACM are analyzed and compared by dealing with the OH-PLIF images of a V-flame. ACM eliminates the arbitrary factors inherent in the threshold method and can acquire the optimized result automatically. Test results show that when boundaries are seriously vague, the result of the threshold method is useless due to heavy noise, but smooth flame fronts can be acquired by means of ACM.
出处
《燃烧科学与技术》
EI
CAS
CSCD
北大核心
2005年第6期543-546,共4页
Journal of Combustion Science and Technology
基金
国家自然科学基金资助项目(50276061).
关键词
火焰前锋
主动轮廓
水平集
阈值
flame fronts
active contour
level-set
threshold
