广东工业大学 自动化学院,广东,广州,510006
谢晶梅(1991–),女,硕士研究生,主要研究方向为模式识别与机器学习
徐荣华(1978–),男,讲师,博士,主要研究方向为自动化装备. E-mail:8600134@qq.com
网络首发:2017-11-09,
纸质出版:2017
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谢晶梅, 宋亚男, 徐荣华, 黄道年. 图像拼接中权重的改进设计研究[J]. 广东工业大学学报, 2017, 34(6): 49-53.
Xie Jing-mei, Song Ya-nan, Xu Rong-hua, et al. An Improved Design of Weight in Image Mosaic[J]. 2017, 34(6): 49-53.
谢晶梅, 宋亚男, 徐荣华, 黄道年. 图像拼接中权重的改进设计研究[J]. 广东工业大学学报, 2017, 34(6): 49-53. DOI: 10.12052/gdutxb.160159.
Xie Jing-mei, Song Ya-nan, Xu Rong-hua, et al. An Improved Design of Weight in Image Mosaic[J]. 2017, 34(6): 49-53. DOI: 10.12052/gdutxb.160159.
针对图像拼接中出现的图像拼接缝隙设计了一套新的算法
该算法主要针对渐入渐出算法中无法同时消除水平方向和垂直方向的拼接缝隙设新的权重函数. 该权重函数的设计通过构造图像重合区域到闭圆盘上的连续映射
然后在闭圆盘上设计连续的权重函数实现. 文中对该算法进行实验仿真
根据仿真结果表明: 该算法可以消除图像拼接过程中出现的缝隙
达到良好的视觉效果
在实际应用中有显著的现实价值.
A new algorithm is designed for splicing aperture in image mosaic. This new algorithm is proposed to solve the horizontal direction and the vertical direction aperture at the same time which the gradually fading image fusion algorithm cannot accomplish. The weight function is designed on the closed disk according to a continuous map on the overlap region of the image to the closed circular plate. Then the algorithm is simulated. According to the simulation results
the algorithm can eliminate the gap in the process of image mosaic and achieve good visual effect
and has significant practical value in practical application.
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