Multimodal medical image fusion by combining gradient minimization smoothing filter and non-subsampled directional filter bank

Cheng Zhang, Wenbo Mei, Huiqian Du*, Zexian Wang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

A new algorithm was proposed for medical images fusion in this paper, which combined gradient minimization smoothing filter (GMSF) with non-sampled directional filter bank (NSDFB). In order to preserve more detail information, a multi scale edge preserving decomposition framework (MEDF) was used to decompose an image into a base image and a series of detail images. For the fusion of base images, the local Gaussian membership function is applied to construct the fusion weighted factor. For the fusion of detail images, NSDFB was applied to decompose each detail image into multiple directional sub-images that are fused by pulse coupled neural network (PCNN) respectively. The experimental results demonstrate that the proposed algorithm is superior to the compared algorithms in both visual effect and objective assessment.

源语言英语
主期刊名Ninth International Conference on Graphic and Image Processing, ICGIP 2017
编辑Hui Yu, Junyu Dong
出版商SPIE
ISBN(电子版)9781510617414
DOI
出版状态已出版 - 2018
活动9th International Conference on Graphic and Image Processing, ICGIP 2017 - Qingdao, 中国
期限: 14 10月 201716 10月 2017

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
10615
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议9th International Conference on Graphic and Image Processing, ICGIP 2017
国家/地区中国
Qingdao
时期14/10/1716/10/17

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