Omar, Zaid and Ahmed, Saif S. and Mokji, Musa and Hanafi, Marsyita and Bhateja, Vikrant (2017) Wavelet-based medical image fusion via a non-linear operator. In: 2016 IEEE Region 10 Conference, TENCON 2016, 22 - 25 November 2016, Singapore.
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Official URL: http://dx.doi.org/10.1109/TENCON.2016.7848214
Abstract
Medical image fusion has been extensively used to aid medical diagnosis by combining images of various modalities such as Computed Tomography (CT) and Magnetic Resonance Image (MRI) into a single output image that contains salient features from both inputs. This paper proposes a novel fusion algorithm through the use of a non-linear fusion operator, based on the low sub-band coefficients of the Discrete Wavelet Transform (DWT). Rather than employing the conventional mean rule for approximation sub-bands, a modified approach is taken by the introduction of a non-linear fusion rule that exploits the multimodal nature of the image inputs by prioritizing the stronger coefficients. Performance evaluation of CT-MRI image fusion datasets based on a range of wavelet filter banks shows that the algorithm boasts improved scores of up to 92% as compared to established methods. Overall, the non-linear fusion rule holds strong potential to help improve image fusion applications in medicine and indeed other fields.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Computed Tomography (CT), Magnetic Resonance Image (MRI), Discrete Wavelet Transform (DWT) |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 97017 |
Deposited By: | Widya Wahid |
Deposited On: | 13 Sep 2022 06:57 |
Last Modified: | 13 Sep 2022 06:57 |
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