检索
E-mail
RSS
作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2010, Vol. 36 ›› Issue (2): 197-200.doi: 10.3969/j.issn.1000-3428.2010.02.070

• 图形图像处理 • 上一篇    下一篇

基于目标提取的红外与可见光图像融合算法

王春华1,3，马国超2，马 苗1   

  1. (1. 陕西师范大学计算机科学学院，西安 710062；2. 山东科技大学财经系，济南 250031；3. 苏州工业园区软件与服务外包职业学院，苏州 215123)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-01-20 发布日期:2010-01-20

Fusion Algorithm for Infrared and Visible Light Image Based on Object Extraction

WANG Chun-hua1,3, MA Guo-chao2, MA Miao1   

  1. (1. College of Computer Science, Shaanxi Normal University, Xi’an 710062;2. Department of Finance and Economics, Shandong University of Science and Technology, Jinan 250031;3. Suzhou Industrial Park Institute of Services Outsourcing, Suzhou 215123)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-01-20 Published:2010-01-20

PDF

1244

被引次数

34

摘要： 分析红外图像与可见光图像融合时，目标信息丢失或减弱的潜在原因，提出一种红外与可见光图像融合算法。该算法根据红外图像与可见光图像的特点，利用灰色关联理论检测并提取红外图像目标，采用替代法对获得的目标信息与可见光图像的背景和细节信息进行融合。实验结果表明，该算法得到的融合图像具有与红外图像相同的目标，且具备可见光图像的细节信息。

关键词: 图像融合, 灰色理论, 灰色关联度, 目标提取, 红外图像

Abstract: Object information may be lost or weakened when infrared image and visible light image are fused. This paper discusses some potential reasons and proposes an image fusion algorithm for infrared image and visible light image. According to the characteristics of infrared image and visible light image, this algorithm detects and extracts infrared image object by grey correlation theory, fuses the acquired object information and the background and detail information of visible light image. Experimental results indicate that the fused image obtained by this algorithm possesses the same object as the one in the infrared image, and keeps the same detail information as the one in the visible image.

Key words: image fusion, grey theory, grey correlation degree, object extraction, infrared image

中图分类号: