NDLI: Adaptive decomposition method for multi-modal medical image fusion

Content Provider	IET Digital Library
Author	Wang, Jing Li, Xiongfei Zhang, Yan Zhang, Xiaoli
Abstract	In traditional image fusion, source images are separated into a fixed space. The low-frequency part and the high-frequency part are not discriminated according to the nature of the image. Traditional fusion rules often use a fixed proportion, causing colour distortion. In this study, a new adaptive decomposition algorithm is proposed to distinguish high frequency and low frequency of structure image to obtain smoothing layer and texture layer. The smoothing layer of the structural image and the colour information of the function image are fused according to dynamic rules, and then the texture layer is added. On the basis of the objective evaluation metrics, the spectral information evaluation metrics are introduced to evaluate the retention of colour. In the experiments, the proposed method is compared with other six classical image fusion methods. The experiment results show that the proposed method can retain the colour information and structure information very well at the same time. Concerning subjective and objective evaluation, the proposed algorithm is superior to other algorithms.
Starting Page	1403
Ending Page	1412
Page Count	10
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 8, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1067
Journal	IET Image Processing
Publisher Date	2018-03-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Decomposition Algorithm Adaptive Decomposition Method Biology And Medical Computing Biomedical Measurement And Imaging Colour Distortion Colour Information Computer Vision And Image Processing Technique Dynamic Rules Fixed Proportion Fixed Space Function Image Health Physics High-frequency Part Image Colour Analysis Image Fusion Low-frequency Part Medical And Biomedical Uses of Field Medical Image Processing Multimodal Medical Image Fusion Objective Evaluation Metrics Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Radiations Radioactivity Smoothing Layer Spectral Information Evaluation Metrics Structural Image Structure Image Structure Information Subjective Evaluation Texture Layer
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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