Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (12): 173-176.

• 图形、图像、模式识别 • Previous Articles     Next Articles

Image fusion based on NSCT using VAM and fuzzy logic

ZHENG Yijun1,2,REN Xianyi2,3,LIU Xiujian1,2,HU Tao2,3,ZHANG Jihong1,2,3   

  1. 1.Department of Computer Science and Technology,Shenzhen University,Shenzhen,Guangdong 518060,China
    2.Shenzhen Processing and Transmission of Visual Media Key Laboratory,Shenzhen,Guangdong 518029,China
    3.Shenzhen Institute of Information Technology,Shenzhen,Guangdong 518029,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-04-21 Published:2011-04-21

结合VAM和模糊逻辑的NSCT图像融合方法

郑义军1,2,任仙怡2,3,刘秀坚1,2,胡 涛2,3,张基宏1,2,3   

  1. 1.深圳大学 计算机科学与技术系,广东 深圳 518060
    2.深圳市可视媒体处理与传输重点实验室,广东 深圳 518029
    3.深圳信息职业技术学院,广东 深圳 518029

Abstract: A method of image fusion based on Non-Subsampled Contourlet Transform(NSCT) is proposed.NSCT which is fully shift-invariant can maintain the edges information and the contour of original image.To handle the uncertainty of the contribution of the source images to the fused image,fuzzy logic is adopted to the fusion strategy.Considering of the importance of interesting regions,Visual Attention Mechanism(VAM) is adopted to guide the fusion procedure by the salient information of the source images.The experimental results show the fused images of proposed algorithm have favorable visual effect and objective measures.

Key words: image fusion, visual attention mechanism, Non-Subsampled Contourlet Transform(NSCT), fuzzy logic, member-ship function, image segmentation

摘要: 提出一种基于非下采样Contourlet变换(NSCT)的图像融合方法。NSCT分解具有平移不变性,有利于更好地保持原始图像的边缘信息和轮廓结构。由于图像融合任务的不确定性及模糊逻辑在处理该类问题时的优越性,在高低频的融合策略中引入模糊逻辑进行基于隶属度的融合。同时考虑到人类视觉感兴趣区域的重要性,在低频系数的融合中引入视觉注意机制,利用原始图像本身的显著区域信息来指导融合过程,从而在融合过程中最大限度地保留源图像中的显著信息。实验结果表明,算法的融合图像具有良好的视觉效果及客观评指标。

关键词: 图像融合, 视觉注意机制, 非下采样轮廓波变换(NSCT), 模糊逻辑, 隶属度函数, 图像分割