基于特征点的图像拼接算法研究与实现 |
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引用本文: | 姜丽凤,巩建学. 基于特征点的图像拼接算法研究与实现[J]. 电脑开发与应用, 2011, 24(6): 29-30 |
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作者姓名: | 姜丽凤 巩建学 |
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作者单位: | 山东工业职业学院; |
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摘 要: | 针对传统的图像拼接算法中存在的误匹配率较高的问题,采用了基于特征点的图像配准算法.在提取特征点阶段,采用了多尺度的Harris特征点提取算法;在特征点匹配阶段,采用的是改进的基于相关窗口的特征点匹配算法,并采用RANSAC算法对特征点匹配对进行提纯;最后采用了最佳缝合线算法消除了拼接效果图中存在的鬼影问题.实验表明该算...
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关 键 词: | 多尺度的Harris特征点提取算法 RANSAC算法 最佳缝合线 |
An Image Mosaics Algorithm Based on Feature Points |
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Abstract: | We choose a new multi-scale Harris corner algorithm to select feature points,then use a robust feature point matching algorithm to determine the image transformation parameters.Third,to solve ghosting and abruptness in stitched images,an algorithm based on dynamic programming is used to find the best seam-line to stitch the images.Experiments show that the above-mentioned algorithms can implement accurate matching of images and eliminate seams and ghosting in stitched images. |
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Keywords: | multi-scale Harris corner algorithm RANSAC algorithm best seam-line |
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