工矿自动化2024，Vol.50Issue(4)：9-17,9.DOI:10.13272/j.issn.1671-251x.2023120003
基于改进最佳缝合线的矿井图像拼接方法
A mine image stitching method based on improved best seam-line
摘要
Abstract
The harsh environment of high dust and low lighting in the coal mine underground excavation working face results in low signal-to-noise ratio of the image,and a serious reduction in the number of effective feature points.The processed image has significant color difference and noise.When using the best seam-line algorithm for image stitching,there are problems such as fine section misalignment,unnatural transitions at the seam line,or obvious stitching traces.In order to solve the above problems,a mine image stitching method based on improved best seam-line is proposed.Firstly,the original image is subjected to HSV spatial transformation,and an improved Retinex algorithm is used for enhancement on the luminance component.Bilateral filtering is used instead of the center surround function to solve the halo problem caused by large brightness differences.The number of feature points extracted is effectively increased through the enhancement algorithm.Secondly,the SIFT algorithm is used to extract feature points,and cosine distance is used as the matching degree indicator.The method introduces pixel cosine similarity as a constraint,and uses morphological operations to improve color difference intensity,uses dynamic programming to search for the best seam-line to avoid misalignment at image stitching.Finally,combined with the gradual in and out algorithm,the image transition is smooth to achieve image fusion of the underground excavation working face.Experimental verification is conducted by simulating the actual working environment underground.The results show that the mine image stitching method based on the improved best seam-line avoids the phenomenon of misalignment stitching caused by color differences and noise compared to the traditional best seam-line algorithm.The image transition at the stitching seam is more natural,avoiding the generation of'ghosts'and obvious stitching seams.The average gradient of the image is increased by about 2.38%,and the stitching time is increased by about 32.5%,making the fusion area smoother and more natural,improving the stitching quality.关键词
掘进工作面/图像拼接/图像增强/最佳缝合线/Retinex算法/改进能量函数/像素余弦相似度Key words
excavation working face/image stitching/image enhancement/best seam-line/Retinex algorithm/improved energy function/pixel cosine similarity分类
矿业与冶金引用本文复制引用
张旭辉,王悦,杨文娟,陈鑫,张超,黄梦瑶,刘彦徽,杨骏豪..基于改进最佳缝合线的矿井图像拼接方法[J].工矿自动化,2024,50(4):9-17,9.基金项目
国家自然科学基金青年项目(52104166) （52104166）
陕煤联合基金项目(2021JLM-03) （2021JLM-03）
中国博士后科学基金面上项目(2022MD723826) （2022MD723826）
陕西省重点研发计划项目(2023-YBGY-063). （2023-YBGY-063）
