Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1616002(2025)

Image Stitching of Glass Internal Texture Based on Projection and Shi-Tomasi Algorithm

Minghui Li1,2, Shiqing Xu3、*, Changwu Wang1,2、**, and Shimin Liu3
Author Affiliations
  • 1School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, Hebei , China
  • 2The Key Laboratory for Software Engineering of Hebei Province, Qinhuangdao 066004, Hebei , China
  • 3State Key Laboratory of Metastable Materials Science and Technology, Qinhuangdao 066004, Hebei , China
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    Aiming at the problems of non-overlapping regions between adjacent images, excessive black linear noise, and low image contrast in the process of glass internal texture image stitching, a new method for stitching internal texture images of glass with non-overlapping regions is proposed. First, the images are preprocessed, which includes the region of interest extraction, image correction, non-local means denoising, multi-scale detail enhancement and so on. Then, feature points are extracted using image projection and updated by the Shi-Tomasi algorithm. Finally, the background parts at the stitching boundaries are removed, and image registration is performed based on translation transformation to achieve the stitching of internal texture images of glass with non-overlapping regions. Experimental results show that the proposed method effectively addresses the problem that non-overlapping region between adjacent images leads to the difficulty of stitching, achieving high-quality image stitching with an accuracy of 95.08%.

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    Minghui Li, Shiqing Xu, Changwu Wang, Shimin Liu. Image Stitching of Glass Internal Texture Based on Projection and Shi-Tomasi Algorithm[J]. Laser & Optoelectronics Progress, 2025, 62(16): 1616002

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    Paper Information

    Category: Materials

    Received: Nov. 28, 2024

    Accepted: Mar. 18, 2025

    Published Online: Aug. 4, 2025

    The Author Email: Shiqing Xu (ysuxsq@ysu.edu.cn), Changwu Wang (wcw@ysu.edu.cn)

    DOI:10.3788/LOP242346

    CSTR:32186.14.LOP242346

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