Composite filter-based medical image processing and its application to CT images

Kaiyuan Bai; Yaxin Li; Haotian Liu; Siyuan Zhai; Peng Tian; Lixiao Yang

doi:10.1117/12.3044181

27 August 2024 Composite filter-based medical image processing and its application to CT images

Kaiyuan Bai, Yaxin Li, Haotian Liu, Siyuan Zhai, Peng Tian, Lixiao Yang

Author Affiliations +

Proceedings Volume 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024); 1325207 (2024) https://doi.org/10.1117/12.3044181
Event: 2024 Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 2024, Kaifeng, China

Abstract

The paper introduces a composite filter that combines Gaussian and edge filters, designed specifically for image processing tasks. This filter offers advantages such as multi-scale feature extraction, edge enhancement, noise suppression, stability, and flexibility. Experimental results demonstrate that the composite filter performs excellently in improving image quality, highlighting details, and reducing noise. Particularly in the context of medical CT imaging, it proves highly effective and can be widely applied in feature extraction, edge detection, and noise reduction tasks. The approach balances smoothness with edge preservation by first using a Gaussian filter to smooth the image and reduce noise, followed by convolution with the edge filter to enhance edges, ultimately producing a filter result that is both smooth and edge-preserving. Therefore, the composite filter holds significant potential for extensive applications in the field of image processing.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kaiyuan Bai, Yaxin Li, Haotian Liu, Siyuan Zhai, Peng Tian, and Lixiao Yang "Composite filter-based medical image processing and its application to CT images", Proc. SPIE 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 1325207 (27 August 2024); https://doi.org/10.1117/12.3044181

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KEYWORDS

Tunable filters

Image filtering

Gaussian filters

Image processing

Linear filtering

Image enhancement

Computed tomography

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