摘要
图像增强在生物医学、无损检测、卫星遥感等领域得到广泛应用。对于低对比度射线图像而言,局部图像的反差较小是其特点。针对这一特点,将全局自适应均衡与局部动态增强相结合,通过增强倍数进行局部动态调整以适合各种对比度增强的要求。仿真结果表明,该算法能有效提高低对比度射线图像的整体对比度并同时突出细节。在实际应用中,对于其他成像技术的处理也有很好的参考价值。
Image enhancement is widely applied to biomedicine,nondestructive testing,satellite remote sensing and other fields.Especially for the low contrast radiographic images,usually there are some disadvantages such as the local area image does not show a striking contrast.In order to improve the clearness of low contrast radiographic images,in this paper we proposed a new enhancement algorithm which combined global adaptive equalization with local dynamic enhancement,then we simulated this enhancement algorithm.The new method will not only effectively increase the global contrast of low contrast radiographic images,but also intensify local details,having great reference value to the other grayscale images.
出处
《机械工程与自动化》
2012年第2期56-57,60,共3页
Mechanical Engineering & Automation
关键词
图像增强
自适应均衡
局部动态增强
image enhancement
adaptive equalization
local dynamical enhancement
