摘要
针对异源图像中可见光与红外图像特征提取算法进行研究,提出了一种基于边缘几何不变性特征的提取算法。采用空域滤波及灰度处理的方法对背景噪声进行处理,使用C anny算子提取目标的边缘,利用二值形态学中腐蚀与膨胀两种基本运算对边缘细化填充。利用圆形模板匹配的方法提取边缘特征点,通过对有效特征点的筛选与组合形成不同的三角形区域特征,并计算这些三角形区域的几何特性。仿真实验结果表明,该方法可以有效提取异源图像的共有特征。
This paper proposes an algorithm of feature extraction based on geometric invariant feature on the edge, which is mainly research on the feature extraction for the optical and infrared images among the multi-sensor images. Using spatial filtering and gray-scale processing method for processing the noise of the background, the Canny operator is used to extract the edge of the target, then corrosion and expansion, which are two basic operations of binary morphology are also used on edge thinning fill. The circular template matching method is used to extract the edge feature points, the different triangular area characteristics are formed through the screening and combination of effective points, at last the geometric characteristics of these triangular regions are calcu- lated. The expriment results show that this method can effectively extract the common feature of multi-sensor images.
出处
《电子技术应用》
北大核心
2015年第3期161-164,共4页
Application of Electronic Technique
基金
国家自然科学基金重大科研仪器设备研制专项(41227802)
国家杰出青年基金(41025015)
