一种适用于胸部CR图像自适应增强方法  

A adaptive enhancement means adapt to breast CR image

作　　者：张明慧[1,2] 张尧禹[2] 张明超[3] 

机构地区：[1]空军航空大学,长春130022 [2]中国科学院长春光学精密机械与物理研究所,长春130033 [3]东北师范大学,长春130117

出　　处：《光学技术》2010年第5期701-704,共4页Optical Technique

基　　金：中科院二期创新基金资助项目(C02E06Z)

摘　　要：人体胸部各种组织器官较多,造成胸部的CR(Computed Radiography)图像动态范围大,是所有临床CR图像中最为复杂的一种。一般的图像增强方法只对胸腔中的部分组织起到了增强的效果,而对另一部分组织不会有良好的增强的效果,甚至会出现对比度变差、细节模糊、噪声增加等不理想的结果。提出了基于邻域灰度方差与噪声方差之比的自适应增强方法,可根据胸部CR图像的灰度特性调节增强程度的加权因数K,自适应的增强胸部CR图像边缘细节,丰富图像的细节信息,提高图像的诊断价值。实验证明,该算法处理后的胸部CR图像细节丰富,信噪比高,细节方差和背景方差之比(DV/BV)比通用算法高,增强后的CR图像具有良好的视觉效果,是一种有效的适合胸部CR医学图像的边缘细节增强方法。The breast CR image is the most complicated of all the clinical CR image,because various organizations and organ in breast cause wide dynamic range.The general enhancement algorithms can enhance some organization in the breast,but can not enhance other organization well,even cause bad contrast and fuzzy image details increasing noise.It puts forward breast CR medicine image adaptive enhancement arithmetic based on the ratio of image variance to noise variance which can adjust factor K bases on CR image gray characteristic and enhance image detail and improve image diagnosis value.Experiment results demonstrate that the algorithm enhances breast CR image detail and the value of DV/BV is higher than the other algorithms,moreover CR image enhanced has good visual effect.The method is fit for edge detail enhancement of breast CR medicine radiation image.

关 键 词：CR医学图像 自适应增强 灰度方差 噪声方差 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]