摘要
由于我国的紫外成像探测技术起步较晚、技术较为落后,有关紫外图像处理方面的研究报道很少。在以往相关研究工作的基础上,针对紫外成像探测系统的日盲紫外小目标图像序列,设计了一种基于数学形态学和图像差分相结合的空间小目标提取方法。首先对原始图像进行灰度形态开运算处理,以减弱噪声和突出目标;然后采用自适应阈值算法对图像序列进行绝对差分运算;从而检测出潜在的目标。实验表明,该算法既能去除背景和噪声干扰,又可有效地检测出图像中的小目标。
The ultraviolet technology in China is developed lately,and a little research news about ultraviolet image processing is reported.According to recent research, small target detecting in the solar blind ultraviolet image of the ultraviolet imaging and de- tecting system is studied deeply.Based on the mathematical morphology and image difference,a method for target extraction of the solar blind ultraviolet image is presented.Firstly ,the noise of original image is suppressed by open processing.Then the image sequences are simulated by absolute difference of adaptive threshold for detecting latent target.Results of simulated experiment demonstrate that the method can not only suppress the disturbance by the background and noise but also effectively detect the small target of the solar ultraviolet image.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第29期220-222,共3页
Computer Engineering and Applications
基金
河南理工大学博士基金资助项目(No.2009-92)
关键词
紫外图像
形态学
差分图像
目标检测
ultraviolet image
morphology
difference image
target detection
