液晶与显示2025，Vol.40Issue(6)：895-904,10.DOI:10.37188/CJLCD.2025-0018
多干扰成像条件下的钻孔内壁图像鲁棒拼接方法
Robust stitching method for borehole wall images under multi-interference imaging conditions
摘要
Abstract
Aiming at the problem that the stitching of borehole wall images in geological exploration is easily affected by multiple factors such as imaging illumination conditions,probe disturbance,and information missing of depth or azimuth,a robust stitching method for borehole wall images under multi-interference imaging conditions is proposed.Firstly,an image mapping method with conditional constraints is adopted to expand a specific sampling region of the borehole wall image into a narrowband image that can be effectively used for stitching under the interference of the imaging light source.Then,the intrinsic characteristics of the images in borehole video are utilized,and an ROI-based registration strategy is adopted to realize the accurate registration of the unfolded narrowband borehole images under the conditions of probe disturbance and information missing of depth and azimuth,and then a precise registration of the unfolded narrowband image of the borehole under the conditions of probe disturbance,missing depth or azimuthal angle.At the same time,a grid-based matching strategy is applied to improve the registration speed.Finally,a row-by-row dynamically weighted image fusion method is adopted to eliminate the stitching traces according to the registration results,which further optimizes the quality of the stitched images.Through the experiments on the simulated images under different geological conditions,the performance indexes of the proposed method with average value of SSIM of 71.39％,average value of PSNR of 26.74,and average value of registration accuracy of 92.38％are better than those of the comparison method.Through the experimental results on the real images of different borehole videos,the objective evaluation indexes of the stitching results obtained by the proposed method,such as EN,SF,AG,MI,and QMI,etc.,are all improved.关键词
图像拼接/图像配准/图像融合/钻孔内壁图像Key words
image stitching/image registration/image fusion/borehole wall image分类
计算机与自动化引用本文复制引用
罗琦,徐望明,李垚翔,赵宇航..多干扰成像条件下的钻孔内壁图像鲁棒拼接方法[J].液晶与显示,2025,40(6):895-904,10.基金项目
国家自然科学基金(No.51805386)Supported by National Natural Science Foundation of China(No.51805386) （No.51805386）
