摘要
提出了适用于红外序列图像小目标检测的二步骤计算模型和算法.该算法处理的第一阶段通过对象的显著性计算,快速提取潜在目标的集合,在第二阶段对这个集合进行更为细致的识别,剔除伪目标,检测出真实目标.这种方法在没有牺牲其他性能指标的前提下,大幅度地改善了运算复杂度,为实现有限条件下系统的实时处理提供了基础.
A two component computation scheme is proposed to detect dim targets in infrared image sequences. In the first process stage, an efficient method is applied to extract the potential targets,in the next stage, these objects are identified, so the true targets are detected, and the spurious objects are rejected. The attention-based approach reduces the computation complexity, while the other performance aspects are not traded off. Experimental results indicate that the proposed extraction and recognition modules exhibit excellent performance for detecting small target in infrared image sequences, especially in process speed aspect.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2006年第6期108-112,共5页
Engineering Journal of Wuhan University
基金
武器装备预研暨国防科技重点实验室基金项目(51483020105JW0516)
图像信息处理与智能控制教育部重点实验室基金项目(TKLJ0207)
关键词
注意机制
红外图像
小目标检测
实时处理
attention mechanism
infrared image
small target detection
real-time processing
