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计算机工程 ›› 2011, Vol. 37 ›› Issue (9): 231-233. doi: 10.3969/j.issn.1000-3428.2011.09.081

• 图形图像处理 • 上一篇    下一篇

改进的逆向组合算法在图像配准中的应用

殷 莹a,桑庆兵b   

  1. (江南大学 a. 理学院;b. 信息工程学院,江苏 无锡 214122)
  • 出版日期:2011-05-05 发布日期:2011-05-12
  • 作者简介:殷 莹(1975-),女,讲师、硕士,主研方向:图像处理;桑庆兵,副教授、博士
  • 基金资助:
    国家自然科学基金资助项目(60875036)

Application of Improved Inverse Compositional Algorithm in Image Registration

YIN Ying  a, SANG Qing-bing  b   

  1. (a. School of Science; b. School of Information Engineering, Jiangnan University, Wuxi 214122, China)
  • Online:2011-05-05 Published:2011-05-12

摘要: 逆向组合算法在进行图像配准时精度很高,但对模板图像在待配准图像中的初始位置敏感。针对该问题,提出一种改进的逆向组合算法,通过计算巴氏系数进行模板匹配,实现输入图像的粗定位后,应用逆向组合算法进行精确定位。实验结果证明,改进的算法对图像发生形变的情况具有较好的鲁棒性,相比原算法,配准能力更强。

关键词: 图像配准, 逆向组合算法, L-K算法, 梯度下降法, 巴氏系数

Abstract: Inverse compositional algorithm has a high accuracy in image registration, but it is sensitive to the initial position of the template image in input image. This paper proposes an improved algorithm based on inverse compositional algorithm. It gets the rough localization by computing Bhattacharyya coefficient between template image and input image, and applies inverse compositional algorithm to accurate image registration. Experimental results show that the improved algorithm is robust to images with affine transform and has stronger ability of image registration.

Key words: image registration, inverse compositional algorithm, L-K algorithm, gradient decent algorithm, Bhattacharyya coefficient

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