| 基于相位相关和Harris纹理分类的SIFT图像拼接算法 |
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| 引用本文：陶磊，郝晓丽，王松涛，张磊，唐泽恬.基于相位相关和Harris纹理分类的SIFT图像拼接算法[J].计算技术与自动化,2025,(1):12-18 |
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| 中文摘要:针对传统尺度不变特征变换(SIFT)算法计算量大的问题，提出了一种基于相位相关和Harris纹理分类的SIFT图像拼接算法。首先使用相位相关法获取待拼接图像的重叠区域，其次使用Harris角点响应函数计算待拼接图像的纹理复杂度，并且通过设定阈值将图像分为强纹理区和弱纹理区，最后在强纹理区域使用SIFT算法进行特征点的检测、描述子的生成以及特征点的匹配，以实现图像拼接。实验结果表明，与传统的SIFT算法相比，提出的算法平均拼接速度提升了85%；与现有的SIFT算法相比，提出的算法平均拼接速度提升了20%，因此该算法在对拼接效率有较高要求的领域具有潜在的应用价值。 |
| 中文关键词:相位相关；Harris纹理分类 SIFT算法 图像拼接 |
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| SIFT Image Stitching Algorithm Based on Phase Correlation and Harris Texture Classification |
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| Abstract:Aiming at the problem of large computation of traditional scale invariant feature transform(SIFT) algorithm, this paper proposed a SIFT image stitching algorithm based on phase correlation and Harris texture classification. Firstly, the phase correlation method is used to obtain the overlapping region of the image to be stitched. Secondly, the Harris corner point response function is used to calculate the texture complexity of the image to be stitched, and the image is divided into strong texture region and weak texture region by setting the threshold. Finally, the SIFT algorithm is used in strong texture areas for feature point detection, descriptor generation, and feature point matching to achieve image stitching. Experimental results show that compared with the traditional SIFT algorithm, the average stitching speed of the proposed algorithm is increased by 85%; Compared with the existing SIFT algorithm, the average splicing speed of the proposed algorithm is increased by 20%. Therefore, the proposed algorithm has potential application value in the field with high requirements for splicing efficiency. |
| keywords:phase correlation Harris texture classification SIFT algorithm image stitching |
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