基于反向直方图均衡的测量图像增强方法  

Measurement Image Enhancement Based on Reverse Histogram Equalization

作　　者：李晓冰[1] 高冰[1] 胡奎[1] 

机构地区：[1]92941部队96分队,辽宁葫芦岛125000

出　　处：《飞行器测控学报》2012年第1期51-54,共4页Journal of Spacecraft TT&C Technology

摘　　要：由于测量图像的动态范围小、对比度低,而且目标所占像素较少,采用传统直方图均衡方法进行图像增强时,往往导致目标灰度级与背景灰度级合并,损失目标信息。基于此问题,提出了一种测量图像反向直方图均衡方法,合并较多像素的灰度级,增加较少像素的灰度间隔,从而克服了传统直方图均衡方法损失目标细节的缺点。实验结果表明,本算法能够有效抑制图像的背景,增强目标的细节。Overlay between target gray levels and background gray levels and loss of target information are encountered in measurement image enhancement with traditional histogram equalization because of narrow dynamic range,low contrast and insufficient pixels of the target.A reverse histogram equalization method is proposed in this paper to solve this problem.The gray levels of the majority pixels are combined and the gray level gaps of the minority pixels are enlarged to mitigate loss of target details of the traditional method.Test results show that the proposed method effectively restrains the background of the image while enhancing the details of the target.

关 键 词：测量图像 直方图均衡 像素 图像增强 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] V556.5[自动化与计算机技术—计算机科学与技术]