计算机工程 ›› 2010, Vol. 36 ›› Issue (19): 224-226.doi: 10.3969/j.issn.1000-3428.2010.19.079

• 图形图像处理 • 上一篇    下一篇

基于形态学小波变换的图像融合算法

夏开建,姚宇峰,钟 珊,常晋义   

  1. (常熟理工学院计算机科学与工程学院,江苏 常熟 215500)
  • 出版日期:2010-10-05 发布日期:2010-09-27
  • 作者简介:夏开建(1983-),男,硕士研究生,主研方向:计算机图形学,计算机动画变形技术;姚宇峰,助教;钟 珊,硕士研究生;常晋义,教授

Image Fusion Algorithm Based on Morphology Wavelets Transform

XIA Kai-jian, YAO Yu-feng, ZHONG Shan, CHANG Jin-yi   

  1. (College of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, China)
  • Online:2010-10-05 Published:2010-09-27

摘要: 在给出基于小波变换图像融合算法的基础上,为了增强图像的质量,提高图像分辨率,提出一种基于数学形态学的小波变换图像融合算法。对读入的图像进行小波变换分解,将分解后的高低频系数用一个扩展矩阵进行存储。在低频分量系数选择中,采用数学形态学方法进行边缘检测,得到边缘图像后,对边缘图像中的尺度系数采用加权平均法进行融合。在选择高频系数时,基于绝对值最大的原则。对多组图像进行实验,实验结果表明,该算法优于传统的融合算法,有效提高了图像的分辨率。

关键词: 图像融合, 数学形态学, 小波变换, 频率系数,

Abstract: Based on expatiating on image wavelet fusion algorithm, an algorithm using mathematical morphology wavelets transform is proposed. The image is decomposed into high-frequency image and low-frequency image which are stored in the extended matrix. In the low-frequency component coefficient of selection, mathematical morphology approach is used for the edge detection. After getting the edge image, the weighted average method is used to fuse the scale coefficients of the edge image. To the high-frequency image, these maximal absolute values are selected and the consistency of these coefficients is verified. This algorithm is tested by some images. Experimental result shows that the proposed method is more outstanding than the conventional methods, and effectively improves the resolution of image.

Key words: image fusion, mathematical morphology, wavelets transform, frequency coefficient, entropy

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