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Color Medical Imaging Fusion Based on Principle Component Analysis and F-Transform

  • Representation, Processing, Analysis, and Understanding of Images
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Pattern Recognition and Image Analysis Aims and scope Submit manuscript

Abstract

In last years, various medical image fusion algorithms have been proposed to fuse medical image. But, most of them focus on fusing grayscale images. This paper proposes a qualified algorithm for the fusion of multimodal color medical images. The technique of F-transforms has mainly been employed as a fusion technique for images obtained from equal or different modalities. The restriction of fused color mixing RGB, substitution method is resolved by incorporating F-transform and color mixing RGB. The proposed method significantly outperforms the traditional methods in terms of both visual quality and objective evaluation, with improved contrast and overall intensity. The proposed method provides better visual information than the gray ones and more adaptable to human vision. Additional, PCA is functional on the two-level decomposition to maximize the spatial resolution. Experimental evaluation demonstrates that the proposed algorithm qualitatively outperforms many existing state-of-the-art multimodal image fusion algorithms.

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Authors and Affiliations

  1. Mechatronics Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq

    Nemir Ahmed Al-Azzawi

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  1. Nemir Ahmed Al-Azzawi
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Correspondence to Nemir Ahmed Al-Azzawi.

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Nemir Ahmed Al-Azzawi received his B.Sc. degree (with honors) in Electrical Engineering, College of Engineering University of Al-Mustansiriya, Iraq, in 1994. He received his M.Sc. Electronics and Communication, in College of Engineering University of Baghdad, Iraq, in 1998. Received Ph.D. degree in BioMedical Electronics in 2011, School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus. His research interests include speech compression, digital image processing and medical image fusion and registration, machine learning, data mining and computer vision. Currently he is a head of mechatronics department, Al-Khwarizmi college of engineering, University of Baghdad. Author of 25 papers.

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Al-Azzawi, N.A. Color Medical Imaging Fusion Based on Principle Component Analysis and F-Transform. Pattern Recognit. Image Anal. 28, 393–399 (2018). https://doi.org/10.1134/S105466181803001X

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  • DOI: https://doi.org/10.1134/S105466181803001X

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