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图学学报

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基于改进加权平均融合算法的图像拼接技术

  

  1. 海军大连舰艇学院，辽宁 大连 116000
  • 出版日期:2017-06-30 发布日期:2017-07-17

Image Mosaic Based on Improved Weighted Average Fusion Algorithm

  1. Dalian Naval Academy, Dalian Liaoning 116000, China
  • Online:2017-06-30 Published:2017-07-17

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摘要： 为了实现图像拼接工作，介绍了SIFT 算法提取特征点的原理，并利用SIFT 算法
对待拼接图像进行特征点提取。在图像融合步骤提出了基于加权平均法改进的融合算法对图像
进行融合，并利用图像信息熵进行结果分析。通过实验，结果表明改进的融合算法融合效果较
好，并最终实现了图像拼接。

关键词: 图像拼接, SIFT, 图像融合, 改进融合算法

Abstract: This paper introduces the principle of SIFT algorithm to extract the feature points, and uses
SIFT algorithm to extract mosaic image feature point. In the fusion step, put forward an improved
fusion algorithm based on weighted average method of image fusion, and use the image information
entropy to analyze the results. The experimental results show that the improved fusion algorithm has
better effect. Finally achieved image stitching.

Key words: image stitching, SIFT, image fusion, improved image fusion algorithm