基于Haralick离散正交多项式曲面拟合的弱小多目标检测方法

提出一种红外弱小多目标图像检测方法,图像先经过中值滤波、高提升滤波增强处理,再用基于Haralick离散正交多项式曲面拟合图像,拟合曲面的极大值点即目标点,可以利用导出的二阶方向导数算子与图像进行卷积得到。对天空、地面背景下低信噪比的红外弱小多目标图像能够有效地分割,增强处理能够有效地抑制噪声干扰。描述了对图像的处理过程,并分析了分割结果。实验表明该算法在执行效率和检测概率上能够取得满意的结果。

Detection Algorithm for Infrared Dim Small Targets Based on Haralicked Discrete Orthogonal Polynomial Surface Fitting

A algorithm of dim small targets detection in infrared image is proposed. Image is processed by using median filter and unsharp mask. The infrared image intensity surface is fitted by Haralickd discrete orthogonal polynomial basis function,and then the maximum points are detected on the fitted intensity surface by convolving the image with the second order directional derivative operators. The algorithm can efficiently segmente the low SNR small multi targets in the infrared image of the sky and earth background, and image enhancement can well suppress the noise. The dealing process of image is illustrated. The result is analysed. Experiment result indicates that the algorithm can obtain satisfactory result on execution efficiency and detection probability.