基于小面拟合的红外小目标提取方法研究

天空和海空背景下红外小目标图像的分割与聚类是检测和识别目标过程的预处理部分。基于小面模型对原始红外图像的局部区域作灰度曲面的最佳拟合，利用导出的二阶方向导数算子在拟合曲面上进行灰度极大值的像素点位置估计，实现对图像中小目标像素的分割和提取。对模拟和实际的天空和海空红外图像进行了实验验证。实验表明，该算法具有较强的适应性。

Research of the Surface - Fitting- Based Infrared Small Object Extracting Method

Segmentation and clustering of infrared small target images in a sky or sea - sky background is considered in this paper, which is the preprocessing part of the detection and recognition of the moving small targets in an infrared image sequence. The infrared image intensity surface is well fitted by bivariate cubic function, and then the maximum extremum points are detected on the fitted intensity surface by convolving the image with the second order directional derivative operators deduced from the cubic facet model, with the coarse locations, the possible targets are extracted by the clustering analysis. The computer experiments are carried out for the real and simulated sky and sea - sky infrared images. The experimental results demonstrate the proposed approach is robust and efficient.