结合三角几何约束的局部自相关性图像拼接算法研究  

Image Mosaic by Using the Local Autocorrelation Algorithm in Triangular Geometric Constraints

作　　者：王晓娜[1] 沈海珍[1] 张炜[1] 叶树亮[1] 

机构地区：[1]中国计量学院工业与商贸计量技术研究所,杭州310018

出　　处：《光电工程》2015年第4期32-37,共6页Opto-Electronic Engineering

基　　金：国家质检总局公益性行业科研专项(201210001-3)

摘　　要：针对工业零视觉精密检测中高分辨率镜头固有的小视场问题,本文提出一种利用特征点之间的三角几何约束关系对特征点的局部领域进行自相关分析的算法,该方法根据重叠图像间的相关性,采用改进的图像配准方式实现了小视场高分辨率小模数齿轮图像的快速准确拼接。实验结果表明,拼接图像与原图像的结构相似度超过0.98;与现有通过区域配准及特征点配准的图像拼接算法相比,在拼接性能和运算复杂度之间取得了较好的平衡,适合在快速、精密的工业零部件视觉检测中的应用。Referring to the limited field of view of the high resolution camera in the visual precision test of industrial parts, an algorithm using the triangular geometric constraint relation and the partial autocorrelation analysis of the feature points is proposed. According to the correlation between the overlapping images, the improved algorithm realize the mosaic of high resolution images of small gear. The simulation experiment results show that the image similarity between the processed image and the original one exceeds 0.98. Compared with the existing regional matching algorithm and the feature points matching algorithm, the proposed algorithm makes a good tradeoff between performance and complexity. Therefore, it is suitable for applications in fast and precisely visual inspection of industrial parts.

关 键 词：图像拼接 角点检测 自相关 相似度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]