基于不同图像质量评价标准的自适应辐射图像增强  

Adaptive Radiation Image Enhancement Based on Different Image Quality Evaluation Standards

作　　者：郭肖静[1] 吴志芳[1] 

机构地区：[1]清华大学核能与新能源技术研究院,北京100084

出　　处：《原子能科学技术》2012年第B09期724-728,共5页Atomic Energy Science and Technology

摘　　要：实现了基于非完全Beta函数的遗传算法以及基于此遗传算法的自适应灰度变换,在此基础上,使用3种图像质量评价标准实现了辐射图像的自适应灰度变换,比较了3种方法的处理时长、稳定性、遗传代数的影响等,将其应用到集装箱DR/CT检测系统图像处理模块中,实现了有效的自适应图像增强。Genetic algorithm based on incomplete Beta function was realized,and adaptive gray transform based on the said genetic algorithm was implemented,based as such,three image quality evaluation standards were applied in the adaptive gray transform of radiation images,and effects of processing time,stability,generation number and so on of the three standards were compared.The better algorithm scheme was applied in image processing module of container DR/CT inspection system to obtain effective adaptive image enhancement.

关 键 词：遗传算法 图像增强 非完全Beta函数 图像质量评价标准 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]