光电工程, 2010, 37 (11): 26, 网络出版: 2011-01-05
基于形态学算法的红外图像小目标检测方法研究
Detection Method for Infrared Small Target Based on Mathematical Morphology
红外图像处理 形态学算法 自适应阈值 小目标检测 infrared image processing morphologic arithmetic adaptive threshold small target detection
摘要
研究了单帧红外图像小目标的检测问题。对传统基于数学形态学的Top-hat 算子进行分析和实验,发现依靠单独的Top-hat 算子并不能准确地检测出目标,文章在Top-hat 算子的基础上,利用一种分块自适应阈值和小范围内目标检测的方法进行目标检测,通过MATLAB 仿真发现,这种方法能够在一定程度上提高单帧图像目标检测的成功率。通过在两个不同的场景中的实验结果分析,发现这种方法不仅适应于单一环境,在实际应用中具有一定的鲁棒性。
Abstract
An algorithm for detecting the small infrared target was proposed. Analyzing the morphologic Top-hat operator,it is found that the small target can not be accurately detected only by relying on the Top-hat operator. Based on the Top-hat operator, a method of blocked adaptive threshold and target detection in small range are used to detect the small infrared target. And the Matlab simulation shows that the method can raise the success rate of detecting the small infrared target in a certain extent. By analyzing the result of two scenes, the method not only adapts in a single environment, but also has certain robustness in practical complex scene.
康令州, 陈福深, 王德胜, 曾军. 基于形态学算法的红外图像小目标检测方法研究[J]. 光电工程, 2010, 37(11): 26. KANG Ling-zhou, CHEN Fu-shen, WANG De-sheng, ZENG Jun. Detection Method for Infrared Small Target Based on Mathematical Morphology[J]. Opto-Electronic Engineering, 2010, 37(11): 26.