基于圆域梯度信息耦合角度相似法则的图像匹配算法  

RESEARCH ON IMAGE MATCHING ALGORITHM BASED ON CIRCULAR REGION GRADIENT INFORMATION COUPLING ANGLE SIMILARITY RULE

作　　者：张昊[1] ZHANG Hao(School of Information Technology,Anhui Vocational College of City Management,Anhui,Hefei 230011,China)

机构地区：[1]安徽城市管理职业学院信息技术学院,安徽合肥230011

出　　处：《井冈山大学学报（自然科学版）》2018年第5期50-56,共7页Journal of Jinggangshan University (Natural Science)

基　　金：安徽省高校质量工程资助项目(2017jxtd108)

摘　　要：为了提高算法匹配正确度与抗仿射变换性,本文通过将图像的梯度信息引入图像匹配的过程,提出了基于圆域梯度信息耦合角度相似法则的图像匹配算法。首先,采用Forstner算子精准快速地对图像特征进行检测,获取纯度较高的特征点。然后,通过计算圆域的haar小波响应值确定主方向,并利用圆域的梯度信息获取特征向量,完成特征描述。最后,根据匹配特征的仿射不变性,利用主方向建立角度相似法则,以完成匹配。通过特征点的特征向量去除错误匹配点,获取最终的匹配结果。实验数据显示,所提算法具有较高的匹配正确率与鲁棒性,在多种几何变换下,其匹配结果中具有较多的正确匹配对,而错误匹配对数量较少。In order to improve the accuracy of algorithm matching and anti-affine transformation ability, by introducing the gradient information of the image into the process of image matching, An image matching algorithm based on circular angle gradient information coupling angle similarity rule was proposed in this paper. Firstly, the feature points of the image are detected by Forstner operator. Then, the main direction was determined by calculating the Haar wavelet response value of the circle domain, and the feature vector was obtained by using the gradient information of the circle domain to complete the feature description. Finally, the angle similarity rule was established by using the main direction of the feature points to complete the feature matching. Experiments show that the proposed algorithm has high matching accuracy and robustness, which has many correct matching pairs and a small number of mismatches in the matching results under various geometric transformations.

关 键 词：图像匹配 FORSTNER算子 圆域梯度信息 HAAR小波 角度相似法则 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]