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图像拼接方法优化及仿真 被引量:3

Image Mosaicing Method Optimization and Simulation
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摘要 研究图像拼接优化问题,针对传统的图像拼接方法,在两幅图像像素灰度差距较大的时候,拼接后,图像连接处由于像素差异而造成出现缝隙的问题。提出了一种改进的SIFT特征提取方法,在图像拼接过程中,加入了特征点灰度融合技术,使得在图像拼接的过程中,充分考虑两幅图像的灰度差异。使两幅拼接图像在连接处完成平滑过渡,实现无缝拼接。进行仿真,结果表明,改进方法很好地解决了存在像素差异的图像间的拼接问题,取得了良好的效果。 Research image mosaicing problem.In traditional image mosaicing method,if the differences of two images are big enough,crack will occur when splicing.This paper proposes an improved method of feature extraction SIFT in image mosaicing process,joined the feature point fusion technique to the process of image mosaicing.Fully consider the gray differences in two images.make two images a smooth transition,and realize a seamless image.Experiments show that the method can solve the existing differences between the image pixels splicing problem,and achieve good effect.
作者 施文娟
机构地区 盐城师范学院
出处 《计算机仿真》 CSCD 北大核心 2011年第7期312-315,共4页 Computer Simulation
关键词 图像拼接 像素差异 灰度融合 Image mosaicing Pixels differences Gray fusion
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