摘要
在分析小目标与背景特性的基础上,根据云层边缘几何形状,构造出灰度形态学多结构元素。用多结构形态开运算对含有小目标的云杂波背景图像进行背景抑制,然后利用全局阈值分割方法将背景抑制后的图像转化为二值图像,提取图像中的小目标。仿真试验表明,该算法对两种云杂波背景均能有效抑制,提高图像的信噪比,减轻后续运算的复杂性。
Based on the analysis of small target and background, multiple structuring elements of gray morphology is built according to the fringe geometry of cloud. First the images of cloud clutter background with small targets are inhabited with multi-structural opening operation and then the global thresholding method is apphed to convert the images into binary ones for the identification of small target. The simulation shows that this algorithm can work well on two cloud clutter backgrounds to improve SNR and reduce the complexity.
出处
《南宁师范高等专科学校学报》
2009年第1期137-140,共4页
Journal of Nanning Junior Teachers College
基金
陕西省自然科学基金项目(2006F20)资助
关键词
多结构元素
云杂波背景
抑制算法
multiple structuring element
cloud clutter background
Suppression Algorithm
