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作 者:王丹丹[1] 陈康[1] Wang Dandan;Chen Kang(Zhengzhou Institute of Finance and Economics,Zhengzhou 252000,China)
机构地区:[1]郑州财经学院,河南郑州450044
出 处:《科技通报》2017年第10期113-116,共4页Bulletin of Science and Technology
基 金:河南省科技攻关课题;项目编号(172102210532)
摘 要:图像拼接是图像处理中的重要内容,由于柱面全景图像采集过程的不规范,导致图像的清晰度不高,对基于虚拟现实的柱面全景图像进行拼接,有利于提高图像质量,提高柱面全景图像的清晰度。为此,本文提出一种基于虚拟现实的柱面全景图像拼接方法,首先对柱面全景图像拼接的流程进行分析,并对拼接过程中的图像采集、图像预处理、图像变换、图像融合进行分析,采用特征点匹配方法提高图像拼接的精度,从而完成柱面全景图像拼接。实验证明,本文所提方法能够有效提高柱面全景图像拼接的精度,且拼接的效率较高,为图像拼接课题的研究应用创造条件。Image mosaic is an important part of image processing.Because of the irregularity of the panoramic image acquisition process,the image clarity is not high,and the panoramic images based on virtual reality are concatenated,which can improve the image quality and improve the cylinder The clarity of the panoramic image.For this reason,this paper presents a method of collimating the panoramic image of the cylinder based on virtual reality.Firstly,the process of the panoramic image mosaic of the cylinder is analyzed,and the image acquisition,image preprocessing,image transformation and image fusion in the process of splicing are analyzed,Using the feature point matching method to improve the accuracy of image stitching,thus completing the cylindrical panoramic image stitching.Experiments show that the method proposed in this paper can effectively improve the accuracy of the panoramic image of the cylindrical image,and the efficiency of splicing is high,which creates the conditions for the research and application of the image mosaic problem.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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