Target Detection Using Filter by Reconstruction on Complete Lattices in Infrared Image
基于完备格的重构滤波器在红外图像目标检测中的应用

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.