光学精密工程2025，Vol.33Issue(4)：641-652,12.DOI:10.37188/OPE.20253304.0641
改进相位相关与聚类思想的Micro-LED芯片显微图像拼接
Improved phase correlation and clustering ideas for Micro-LED chip microscopic image stitching
摘要
Abstract
Aiming at the problem of slow algorithmic stitching and low accuracy due to the existence of a large number of similar and neatly arranged LEDs in the existing microscopic images of Micro-LED chips,this paper proposed a clustering-based Micro-LED chip micro-image stitching method.Firstly,the OTSU method was used to preprocess the images,and then the adaptive area expansion phase correlation method was used to peak the overlapping regions of two adjacent images to obtain the offset of the preliminary alignment.Subsequently,the optimized alignment strategy using image chunking and the DHash algo-rithm was employed to obtain the optimized offset.Finally,density-based spatial clustering of applications with noise was introduced to automatically screen out and deal with the possible erroneous offsets.The ex-perimental results show that the average time consumption of this paper's algorithm is 64 ms,which meets the demand of real-time stitching,the stitching correct rate reaches 99.4%,the alignment accuracy is con-trolled within 1 pixel,and the fusion processing can achieve a perfect stitching effect subjectively,which al-so provides a new solution to the overall misalignment problem caused by the wrong offsets.The algo-rithm in this paper effectively solves the key link of microscopic image stitching in wafer-level Micro-LED chip inspection and can be promoted and applied to other machine vision automation fields with repetitive features and high precision requirements,with high practical engineering application value.关键词
图像拼接/Micro-LED芯片显微图像/相位相关/差异值哈希/聚类思想/缺陷检测Key words
image stitching/Micro-LED chip micrographs/phase correlation/DHash/clustering idea/defect detection分类
信息技术与安全科学引用本文复制引用
林坚普,王廷雨,蔡苾芃,张建豪,梅婷,林珊玲,林志贤,乐建避,吴朝兴..改进相位相关与聚类思想的Micro-LED芯片显微图像拼接[J].光学精密工程,2025,33(4):641-652,12.基金项目
国家自然科学基金青年基金(No.62101132) （No.62101132）
福建省自然科学基金资助(No.2024J010016) （No.2024J010016）
