ITM Web Conf.
Volume 47, 20222022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|Number of page(s)||6|
|Section||Algorithm Optimization and Application|
|Published online||23 June 2022|
Medical image fusion quality evaluation method combined multi-angle and multi-scale information
1 School of Computer and Electronics and Information, Guangxi University, Nanning, China
2 Guangxi Key Laboratory of Multimedia Communications Network Technology, Guangxi University, Nanning, China
* Corresponding author: firstname.lastname@example.org
At present, the existing evaluation indicators of image fusion algorithms do not in conformity with the standards of human vision system and are not suitable for medical image application scenarios. Therefore, this paper proposes a medical image fusion quality evaluation method combining multi-angle and multi-scale information. We use Gabor Filter to decompose the image and obtain multi-angle texture information, and design a new index, called Multiscale Structural Similarity with Image Resolution (SSIM-IR), to comprehensively evaluate the fused image from edge, structure and sharpness. The experimental results show that this method is more suitable for medical image application scenarios, consistent with subjective evaluation, and can be used for measuring the advantages and disadvantages of medical image fusion algorithm.
Key words: Gabor filter / Medical image fusion / Fusion quality evaluation / Multiscale structural similarity with image resolution
© The Authors, published by EDP Sciences, 2022
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