一种改进算法实现岩心图像无缝拼接  

An Improved Algorithm for Seamless Stitching of Core Images

作　　者：朱望 沈疆海[1] ZHU Wang;SHEN Jiang-hai(School of Computer Science,Yangtze University,Jingzhou 434023,China)

机构地区：[1]长江大学计算机科学学院,湖北荆州434023

出　　处：《电脑知识与技术》2021年第26期105-107,共3页Computer Knowledge and Technology

摘　　要：岩心分析在地质岩心研究中具有重要作用,是科技人员了解地下信息的重要依据。利用岩心扫描仪将岩心高精度扫描下来得到的岩心图像,是研究人员进行岩性分析的重要材料。但是扫描摄像头视域有限,只能采取分段扫描再拼接的方法来构成一幅完整的岩心图像。为了满足这一需求,本文利用SURF实现了图像特征点的快速匹配,利用FLANN+Knnmatch近邻值算法降低了拼接对图像重叠率的要求,利用RHO算法提升拼接成功率,最后利用渐入渐出加权平均法融合拼接缝,完成岩心图像的无缝拼接。相对于传统算法,本算法拼接速度快、对图像质量要求更低、拼接成功率高,并能完美融合拼接缝,达到很好的实用效果。Core analysis plays an important role in geological core research,and is an important basis for scientific and technologi⁃cal personnel to understand underground information.The core image obtained by high-precision core scanning by core scanner is an important material for the researchers to conduct lithology analysis.But the visual threshold of the scanning camera is limited,so the method of segmented scanning and splicing can only be used to form a complete core image.In order to achieve this demand,In this paper,surf is used to realize the fast matching of image feature points,FLANN+knmatch algorithm is used to reduce the re⁃quirement of image overlap rate,Rho algorithm is used to improve the success rate of stitching,and finally the gradual in gradual out weighted average method is used to fuse the stitching seam to complete the seamless stitching of core image.Compared with the traditional algorithm,this algorithm has the advantages of fast stitching speed,lower image quality requirements,high stitching suc⁃cess rate,perfect fusion of stitching seams,and good practical effect.

关 键 词：岩心图像拼接 SURF 无缝拼接 图像融合 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]