计算机工程

• 图形图像处理 • 上一篇    下一篇

基于多层次多方向分解的医学图像融合算法

宋瑞霞 1,王孟 1,王小春 2,余建德 3   

  1. (1.北方工业大学 理学院,北京 100144; 2.北京林业大学 理学院,北京 100083;3.澳门科技大学 资讯科技学院,澳门 999078)
  • 收稿日期:2016-10-14 出版日期:2017-10-15 发布日期:2017-10-15
  • 作者简介:宋瑞霞(1963—),女,教授,主研方向为图像处理、模式识别;王孟,硕士研究生;王小春,教授;余建德,副教授、博士。
  • 基金项目:
    国家自然科学基金(61272026,61571046);澳门科学技术发展基金(097/2013/A3)。

Medical Image Fusion Algorithm Based on Multi-layer and Multi-direction Decomposition

SONG Ruixia 1,WANG Meng 1,WANG Xiaochun 2,YU Jiande 3   

  1. (1.College of Science,North China University of Technology,Beijing 100144,China;2.School of Science,Beijing Forestry University,Beijing 100083,China;3.Faculty of Information Technology,Macau University of Science and Technology,Macao 999078,China)
  • Received:2016-10-14 Online:2017-10-15 Published:2017-10-15

摘要: 传统多模态医学图像融合技术融合后图像的细节表达不清晰、病灶不明显。为此,设计一种V-变换与非下采样Contourlet变换(NSCT)相结合的融合方法。对源图像进行多层次V-分解,使其被分解为轮廓图像和细节图像两部分,对其中的轮廓图像做NSCT变换,在NSCT域中设计融合方案,针对细节图像给出细节信息的融合策略,将融合后的轮廓图像和细节图像叠加,以得到最终融合图像。实验结果表明,与传统离散小波变换、NSCT变换的方法相比,该算法在视觉效果和评价指标方面都有较好的表现。

关键词: 图像融合, 医学图像, V-系统, 多层次V分解, 非下采样Contourlet变换

Abstract: Fused images obtained using the traditional multi-modal medical image fusion technology cannot express details clearly and lesion obviously.In view of this,a new fusion method which combines the V-transform and Non-subsampled Contourlet Transform(NSCT) is proposed.The source images are first decomposed into contour sub-image and detail sub-images by applying the multi-layer V-decomposition,and then NSCT transform is performed on the contour sub-image.Fusion rule in NSCT domain is designed.Fusion strategy for detail information is presented on detail sub-images.The fused image is finally obtained by overlaying the fused contour image and fused detail image together.Experimental results show that the proposed algorithm outperforms the traditional discrete wavelet transform and NSCT transform in both visual effect and evaluation indexes.

Key words: image fusion, medical image, V-system, multi-layer V-decomposition, Non-subsampled Contourlet Transform(NSCT)

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