摘要
采用行均值相减方法抑制温度场的非线性影响,校正红外图像模糊,增强点目标;利用Top-Hat算子形态滤波,抑制背景并保留高亮区;选择结构元素进行腐蚀和膨胀运算,去除虚警点获得目标候选点;搜索局部极大值,确定阈值并结合图像帧间的相关性分离出目标。实验表明,该方法能检测出低信噪比复杂海面背景中的红外点目标。
Correction of IR image fuzziness and enhancement of point target are carried out by inhibiting nonlinear influence in temperature field with line average subtracting. Inhibiting background and maintaining high brightness area are implemented by using Top-Hat operator morphological filtering. The image is dilated and eroded by selecting structural elements to eliminate false alarms and obtain candidate target position. The targets are separated off from searching for local maximum, determining threshold and combining with the correlation of image frames. The experiments show the method can detect IR point target from complex sea background with low signal-to-noise ratio.
出处
《光电工程》
CAS
CSCD
北大核心
2003年第6期55-58,共4页
Opto-Electronic Engineering
基金
中国科学院国防科技创新基金项目(CXJJ-65)
关键词
红外点目标
目标检测
图像分割
数学形态学
IR point-target
Target detection
Image segmentation
Mathematical morphology
