中国计量大学学报2025，Vol.36Issue(4)：631-641,11.DOI:10.3969/j.issn.2096-2835.2025.04.015
基于改进ZNCC的灰度快速图像匹配算法
A fast grayscale image matching algorithm based on improved ZNCC
池成焕 1陈锡爱1
作者信息
- 1. 中国计量大学机电工程学院,浙江 杭州 310018
- 折叠
摘要
Abstract
Aims:For the requirements of in image matching applications,such as varying poses,multiple targets,and high-speed,a grayscale image matching method based on ZNCC was designed.Methods:According to the preset angle range and the number of pyramid layers,an initial template library was constructed at the top layer of the pyramid.A method combining improved integral images and mask images was adopted to realize fast matching of non-rectangular regions of interest(ROI).The non-maximum suppression method was used to eliminate false matches caused by proximal detection regions.The top-layer template library was used for preliminary matching;and the preliminary matching results were mapped to the next level of the pyramid to dynamically generate a reduced search space and corresponding templates,which were iterated layer by layer to the bottom layer of the pyramid to achieve accurate matching.Results:In the single-target matching task(the size of the image to be matched is 1 920× 1 278),under the condition that the matching intersection over union(IoU)was greater than 95％,the average time consumption of the algorithm was only 7.52 ms.In complex scenarios involving multiple targets,and rotation transformations(the resolution of the image to be matched is 646 × 482),the average time consumption was 52.91 ms while meeting the same requirement of matching IoU.Conclusions:The proposed algorithm is capable of achieving fast and accurate grayscale image matching in complex scenarios such as multi-pose,multi-target,and rotation transformations,demonstrating strong practical application value.关键词
图像匹配/零均值归一化互相关/多姿态多目标Key words
image matching/ZNCC/multi-pose multi-target分类
信息技术与安全科学引用本文复制引用
池成焕,陈锡爱..基于改进ZNCC的灰度快速图像匹配算法[J].中国计量大学学报,2025,36(4):631-641,11.
