旋转不变梯度直方图目标描述方法  

Rotation-invariant Histogram of Oriented Gradients for Target Description

作　　者：谌德荣[1] 王文斌[1] 刘丙太 姜威 俞达 宫久路[1] 

机构地区：[1]北京理工大学机电工程与控制国家重点实验室,北京100081 [2]北京宇航系统工程研究所,北京100076

出　　处：《电子与信息学报》2016年第1期23-28,共6页Journal of Electronics & Information Technology

基　　金：国家部委基金;北京理工大学基础研究基金~~

摘　　要：论文为解决旋转目标图像匹配问题,提出旋转不变梯度直方图(RI-HOG)目标描述方法。RI-HOG描述方法首先将目标区域等间隔划分为多个同心圆环并统计每个圆环的梯度直方图(HoG),各圆环HoG累加的结果作为目标区域的主方向,再将各圆环HoG根据主方向旋转相应角度作主方向归一化处理,最后把旋转后的各圆环HoG按空间顺序连接后即生成RI-HOG。对实际采集图像的仿真结果表明,基于RI-HOG的目标匹配算法在目标旋转任意角度时依然能够准确检测到目标。RI-HOG具有很好的旋转不变性。A rotation-invariant feature descripts method called Rotation Invariant Histogram of Oriented Gradients（RI-HOG） is proposed for automatic target recognition. RI-HOG calculates gradient of image first, then the image window is divided into a set of un-overlapped annular regions, called sells, and the Histogram of Gradient（Ho G） is used to calculate a feature vector for each cells. After that the Ho G of each circle is accumulated to get the main angle of the target area, and then it is rotated due to the main angle to make a normalization of the main angle. At last, the Ho G of each circle after rotating is linked to generate the rotation-invariant target feature vector. Experiment results show that target detection method using RI-HOG can find the target under arbitrary rotations. RI-HOG is a rotation-invariant target feature descriptor.

关 键 词：自动目标识别 特征描述方法 梯度直方图 旋转不变性 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]