王楠楠, 王存睿, 段晓东, 焉德军. 基于SIFT的边缘局部仿射的图像拼接算法[J]. 微电子学与计算机, 2012, 29(1): 35-37,41.
引用本文: 王楠楠, 王存睿, 段晓东, 焉德军. 基于SIFT的边缘局部仿射的图像拼接算法[J]. 微电子学与计算机, 2012, 29(1): 35-37,41.
WANG Nan-nan, WANG Cun-rui, DUAN Xiao-dong, YAN De-jun. A Edge-Local Image Mosaic Algorithm Based on SIFT[J]. Microelectronics & Computer, 2012, 29(1): 35-37,41.
Citation: WANG Nan-nan, WANG Cun-rui, DUAN Xiao-dong, YAN De-jun. A Edge-Local Image Mosaic Algorithm Based on SIFT[J]. Microelectronics & Computer, 2012, 29(1): 35-37,41.

基于SIFT的边缘局部仿射的图像拼接算法

A Edge-Local Image Mosaic Algorithm Based on SIFT

  • 摘要: 本文针对累计误差形成的多幅图像拼接产生畸变的问题, 提出了一种基于边缘局部仿射的拼接算法, 在拼接过程中逐步衰减仿射变换, 使得图像在拼接过程中逐渐降低过仿射带来的畸变.同时为从视觉上分析图像拼接过程特征点的变化情况, 本文还提出了一种基于特征点的骨架图算法, 通过拼接后骨架图的图像来分析各种拼接算法.可以广泛应用于拼接算法的测试过程.

     

    Abstract: In this paper, we present an edge-local image mosaic algorithm based-on SIFT feature.construct a local affine edge-based mosaic algorithm for reducing the cumulative error for stitching multiple images, and we gradually decay affine transformation in the mosaic process, make the mosaic image decreasing the distortion with over affine transformation.For the better analysis from visual about the process of change of feature points in image mosaic, this paper presents a skeleton graph algorithm based on feature points, skeleton graph can intuitive analyze the mosaic algorithms, this method can be widely used in the testing process of the image mosaic algorithm.

     

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