仿射不变三角形在红外目标识别中的应用  

Affine invariant triangle in infrared target recognition

作　　者：赵爱罡[1] 王宏力[1] 杨小冈[1] 陆敬辉[1] 崔祥祥[1] 姜伟[1] 

机构地区：[1]第二炮兵工程大学目标探测与图像制导实验室,陕西西安710025

出　　处：《激光与红外》2015年第12期1493-1499,共7页Laser & Infrared

基　　金：国家自然科学基金项目(No.61203189);总装预研基金项目(No.9140A01060411JB4701)资助

摘　　要：红外目标识别主要存在以下两个问题:一是红外成像比较模糊,难以提取不变特征;二是红外图像信息含量小,不易发掘有效的描述方法。针对上述问题,提出了一种基于曲率尺度空间(Curvature Scale Space,CSS)角点的仿射不变三角形的检测方法,并利用优选参数的多尺度自卷积(Multi-scale Autoconvolution,MSA)对提取的三角形区域进行描述,最后进行特征匹配实现红外目标识别。实验表明:与其他方法比较,在各种图像变换中,本文方法对红外目标的识别优势显著。Infrared target recognition has two problems： the first one is the difficulty to extract invariant feature owing to the blur infrared images; The second one is that the infrared image has little information and it is hard to be represented in an effective descriptor. To solve the problems,a detection method of affine invariant triangles based on corners in curvature scale space（ CSS） is presented,and the triangular region is represented by using multi-scale auto-convolution（ MSA） whose parameters are optimized. At last,infrared target recognition can be realized by matching features. Experimental results show that recognition effect of this method for infrared targets is better than other methods in many kinds of image transformations.

关 键 词：仿射不变 曲率尺度空间(CSS) 多尺度自卷积(MSA) 红外目标 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]