基于红外图像的桥梁目标自动识别方法

摘要

对桥梁的识别研究，在军事上和民用上都具有很重要的意义，国内外与此相关的研究比较多，取得了一定效果，但也存在适用范围不广，处理速度较慢等问题。本文基于红外图像的特性，运用迭代法选取阈值进行阈值分割，得到二值化图像；然后用形态学的方法粗略提取目标点；利用桥梁目标的直线特性，运用Radon变换在图像中提取直线并连接。本算法对水域上的红外图像中的桥梁识别具有通用性，方法直观简洁，计算速度快。%The research on recognition of bridges is of a very important significance in military and civil .The relevant studies at home and abroad have obtained certain effects , but have also some weak points:the application range is not wide , the processing speed is not so fast and so on .Based on the characteristics of infrared image , this paper puts forward a method that uses iteration to calculate and split threshold to get the binary images .Then the target points are extracted by morphology method .Based on bridge’s linear property, the straight lines are extracted and connected from the target points by Radon transform .This algorithm is universal for bridge recognition of infrared image in water area , and it’s simple, intuitive with a high calculating speed .