一种基于几何基元模型的人造目标提取方法

Method of detecting manmade object based on model of geometric element

给出了从自然景物背景中提取人造目标的一种方法。基于图像灰度的差分方向算子将一幅图像分离成不同灰度差分方向的直线线段子图像,再对每幅子图像做直线段的后处理,最终将几幅子图像构建成一幅不同差分方向的直线线段集合。基于直线段集合图像给定区域内直线线段的结构文法及其所含几何基元数目和几何基元种类将人造目标从自然背景中提取出来。此算法可开发成实时硬件跟踪器应用于自动目标捕获。实验结果说明,对复杂的背景及低对比度情况下的红外目标图像,该方法提取人造目标的准确率达95%以上。

A method of extracting manmade object from natural background is presented. Operators of difference orientations based on image gray separated a image into some sub-images of different orientations. Post processing of every sub-image made these sub-images construct different difference orientations collection of line segment. Structure grammar based on local area of collection of line segmentation and geometric element and number of classes of geometric element could extract manmade object from natural background. This algorithm could be developed as real-time hardware trackors applied to automatic target capture. Finally, experimental results show that this method can extract manmade object in infrared image under conditions of complicated background and low contrast, and the correct detection ratio is more than 95%.