基于δ-LBP的红外目标检测方法

Infrared Target Detection Based on LBP

研究红外序列图像中目标检测方法,在对传统方法分析的基础上,提出了以LBP算法为基础的δ-LBP算法。该算法充分利用了LBP算子的平移不变性和旋转不变性,能在复杂的背景中快速检测到目标边缘,进而确定和跟踪目标。与几种传统算法比较,此检测方法在准确性和实时性方面都有所提高。

The thesis thoroughly studies the methods of object detection in the infrared image sequences. Based on the analysis of the traditional ways, it proposes the 8-LBP algorithm which is on the basis of LBP algorithm. This kind of algorithm which makes a full use of the translation inalterability and the revolution inalterability of the arithmetic operators, succeeds detecting the association of the targets in complicated backgrounds and then recognizes and traces the targets.Compared to several kinds of traditional algorithms, this method has already improved in veracity and timing.