计算机应用 ›› 2005, Vol. 25 ›› Issue (05): 1064-1065.DOI: 10.3724/SP.J.1087.2005.1064

• 图形图像与多媒体 • 上一篇    下一篇

基于图像金字塔的分维融合算法

孙玉秋1,2,田金文1,柳健3   

  1. 1.华中科技大学图像识别与人工智能研究所; 2.华中科技大学电子与信息工程系 3.长江大学信息与数学学院
  • 发布日期:2005-05-25 出版日期:2005-05-01
  • 基金资助:

     国防科技预研基金资助项目(51476040304JW0508)

Fractal dimension fusion method based on image pyramid

SUN Yu-qiu1,2,TIAN Jin-wen1, LIU Jian3   

  1. 1. Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan Hubei 430074, China; 2. School of Information and Mathematics, Yangtze University, Jingzhou Hubei 434023, China; 3. Department of Electronic and Information Engineering, Huazhong University of Science and Technology, Wuhan Hubei 430074, China
  • Online:2005-05-25 Published:2005-05-01

摘要: 数据融合是进行目标检测和识别的重要技术之一,但是在融合过程中不可避免地会产生信息损失。如何保留尽可能多的有用信息,关键在于融合算法的选取。由于图像金字塔中不同级的图像之间具有自相似性,而自相似性又是分形分维的基础。于是,根据图像金字塔的特点,提出了一种新的图像融合方法———基于图像金字塔的分维融合算法,将不同源图像分别分解成不同尺度的金字塔图像序列,在相应的尺度上以分形分维作为权系数进行融合,并采用中波红外和长波红外图像作为源图像进行融合实验, 实验结果表明该方法是可行的。

关键词: 图像金字塔, Gaussian金字塔, Laplacian金字塔, 分维, 图像融合

Abstract: Data fusion is an important technique to detect and recognize target from images. However, loss of information is unavoidable in fusion process. It is crucial to select fusion algorithm and avoid the loss of useful information. Because images in different levels of image pyramid were self-similar, which was the foundation of fractal, a new image fusion algorithm was presented based on image pyramid and fractal dimension. Different source images were decomposed into image pyramid sequence with different scales. Corresponding level images were merged, with fractal dimension as weight. An experiment was given using a mid-wave and a long-wave infrared image as two source images. Experiment results show the algorithm is feasible.

Key words: image pyramid, Gaussian pyramid, Laplacian pyramid, fractal dimension, image fusion

中图分类号: