基于梯度和各向异性扩散的红外双波段目标检测方法

Infrared Dual-Band Target Detection Method Based on Gradient and Anisotropic Diffusion

首先对暗目标的梯度特性进行了分析,得出了红外目标的梯度具有各向同性的特点,可以作为目标检测算法设计的依据,同时对中长波红外图像的成像进行了分析,认为长波受到红外反射的影响较小。在此基础上,使用多方向梯度算法对金字塔分解后的图像进行初步目标检测,然后使用各向异性扩散方法进一步区分目标与背景。最后,结合双波段成像特点,对中、长波的检测结果进行融合,实现了对双波段红外暗目标的有效检测。

The gradient characteristics of dark targets is analyzed first in this paper. The gradient of infrared target is isotropic, which can be used as the basis for the design of target detection algorithm. Besides, the imaging of medium and long wave infrared images is analyzed. It is believed that long-wave infrared imaging is less affected by target reflection. On this basis, preliminary target detection of the pyramid decomposition image is carried out using multidirectional gradient algorithm. Then, the antisotropic diffusion method is used to further distinguish between the target and the background. Finally, the detection results of medium and long infrared images are fused base on the characteristics of dual-band infrared imaging. Effective detection of dual-band infrared dark targets is realized.