基于改进型灰度阈值分割法的爆炸图像研究  

Study on explosion images processing based on improved gray level thresholding

作　　者：董玉才[1] 史宏涛[1] 杜健[1] 王东兴[1] 

机构地区：[1]装甲兵工程学院非线性科学研究所,北京100072

出　　处：《信息技术》2010年第8期19-21,83,共4页Information Technology

基　　金：装甲兵工程学院战略投资项目(2009ZL05)

摘　　要：爆炸图像的轮廓曲线中蕴含了丰富的爆炸物理信息和几何信息,是分析爆炸抛散过程的重要基础。在灰度阈值法的基础之上,结合SFAE爆炸图像的几何特征,提出了一种改进型的灰度阈值法,并在MATLAB环境中进行了模拟仿真,最后利用连通成分的评价方法对分割效果进行了评估。实验结果表明,该方法比普通的灰度阈值法提取效果好,适合于爆炸图像的预处理。The profilogram of explosion image includes abundant explosion information about physics and geometry.And these informations is the important base of analysis of the explosion process.In this paper,the improved gray level threshold was propounded based on gray level thresholding and the geometrical characteristic of SFAE explosion image.This new method is simulated by MATLAB,and the effect is evaluated by connectivity.The result of simulation shows that the effect of improved method is better than traditional method,and improved method is fit for explosion image preconditioning.

关 键 词：轮廓曲线 爆炸图像 灰度阈值法 连通成分 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]