基于完备格的重构滤波器在红外图像目标检测中的应用

对红外图像中的目标进行检测和跟踪是精确制导武器中非常困难的也是急需解决的难点之一,针对红外图像的特点,提出了一种新的用于红外图像序列弱小目标检测和跟踪的处理方法,并首先探讨了完备格下的图像连通性,其重构滤波器具有简化图像,并能保证轮廓完整的特性。该新方法包括帧内处理和帧间处理,其中帧内处理使用灰度级重构tophat滤波器实现背景去除和图像简化,再结合目标的灰度、形状、面积信息完成图像分割;帧间处理使用目标的空间、时间运动信息实现序列的目标检测和跟踪。仿真实验结果表明,这种方法在检测和跟踪红外图像中的弱小目标时,具有有效性和鲁棒性。

Target Detection Using Filter by Reconstruction on Complete Lattices in Infrared Image

Target detection and tracking in infrared image is hard and need to urgently resolve. A novel processing method for dim target detection and tracking in infrared image is proposed. Morphological filters by reconstruction on complete lattices have the fundamental property of simplifying the image while preserving contours. In infrared image, background and clutter can be extracted using reconstruction tophat operator. The proposed method includes intraframe and interframe. Intrafrmae processing uses reconstruction tophat operator to detect target combining with target grayscale, shape and area information. Interframe processing uses spatial and temporal criteria to track target. The experimental results show that the proposed method is efficient and robust to detect and track dim target in infrared images.