基于等积环投影与Zernike矩的快速模板匹配

为增强工业级机器视觉系统的实时性和稳定性，本文提出一种基于等积环投影与Zernike矩的具有旋转不变性的快速模板匹配方法，该方法采用由粗到精匹配策略，在粗匹配阶段以等积环投影向量作为特征进行匹配得到候选点集，再基于Zenrike矩进行精确匹配.主要创新点为提出复杂度低、抗噪性强和具有旋转不变性的等积环投影向量特征，并利用圆对称性在八分圆法基础上进一步降低Zernike矩计算量.经理论分析和实验对比验证，此法在保障匹配精度前提下，其匹配速度胜于当前同类最优算法，且对高斯噪声及线性亮度变化有强鲁棒性.

Fast Template Matching Based on Equal-Area Ring Projection and Zernike Moments

In order to enhance the real-time performance and stability of industrial-level machine vision systems,this paper proposes a fast template matching method with rotation invariance based on equal-area ring projection and Zernike moments.The method uses a coarse-to-fine matching strategy.The coarse matching stage uses the equal-area ring projection vector as the feature to obtain the candidates,and then use Zenrike moments to accurately match in candidates.The main contributions of this paper are proposing the equal-are ring projection vector feature with low complexity,noise insensitive and rotation invariance,and further reducing the computational cost of Zernike moments based on the octant circle method using circular symmetry.Theoretical analysis and experimental results show that the proposed method is faster than the state-of-the-art algorithm under high matching accuracy,and it is robust to Gaussian noise and linear brightness variations.