重庆理工大学学报2025，Vol.39Issue(1)：117-124,8.DOI:10.3969/j.issn.1674-8425(z).2025.01.015
一种预处理OWLCM算法下的图像特征匹配研究方法
A pre-processing OWLCM algorithm for image feature matching research
摘要
Abstract
The quality of the original image directly affects the accuracy of the image matching.Traditional image enhancement methods often cannot be organically integrated with subsequent image matching algorithms.Thus,it is difficult to improve the matching accuracy.To address the issue,we propose a method based on OWLCM algorithm to preprocess images and improve the accuracy of feature matching.Based on the LCM algorithm,the algorithm achieves pixel dynamic enhancement by introducing local enhancement factors and nonlinear transformation factors,which can more effectively enhance the matching image quality.To verify the feasibility of the method,the Middlebury stereo vision test set is employed for preliminary verification and the image matching is made under multi-factor working conditions such as deflection,low light,rotation and ordinary conditions.Our results show the average number of correct feature matching pairs in the proposed algorithm is 524.25 compared with that of the traditional LCM and LCM-SURF feature matching algorithms,which is 277.50 higher than that of the LCM-SURF algorithm.关键词
图像匹配/图像预处理/视觉质量/多因素工况Key words
image matching/image pre-processing/visual quality/multi-factor operating conditions分类
信息技术与安全科学引用本文复制引用
秦蒙,郑冬,冯鹏,龚识懿,杨泳,任照富..一种预处理OWLCM算法下的图像特征匹配研究方法[J].重庆理工大学学报,2025,39(1):117-124,8.基金项目
重庆市教育委员会科学技术研究计划青年项目(KJQN202302605) （KJQN202302605）
重庆市科委技术创新与应用发展专项(cstc2021jscx-gksbX0056) （cstc2021jscx-gksbX0056）
