基于CBS的违禁品目标凸现  

Emergence of The Contraband Object Based on The Compton Back-scattering

作　　者：邵立康[1] 刘俊旭[1] 迟权德[1] 韩裕生[1] 

机构地区：[1]解放军炮兵学院,安徽合肥230031

出　　处：《CT理论与应用研究（中英文）》2005年第2期1-5,共5页Computerized Tomography Theory and Applications

摘　　要：本文在分析基于CBS的人身安检图像基础上,提出了基于数学形态学膨胀累加、双阈值分割的违禁品分割算法。采用形态学的膨胀累加算法可以有效抑制噪声并提高目标能量;利用连通性判断获得违禁品候选区域;最后通过获得的数据对违禁品目标进行有效地凸现。On the basis of the analysis of image in the Body Searching System based on the CBS, the paper brings forward segmentation arithmetic of the contraband object based on Mathematical Morphology and double threshold values.It is effective that adopting expansion accumulation arithmetic can avoid restraining noise and improve the object energy, judging contraband area by connectedness, finally making contrand emergy effectively through obtaining the data.

关 键 词：康普顿背散射 双阈值分割 数学形态学 连通域 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]