Thresholding-based decision map for CT-MRI fusion in wavelet domain Online publication date: Fri, 16-Sep-2022
by Vijayarajan Rajangam; N. Sangeetha; Kethepalli Mallikarjuna
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 20, No. 5, 2022
Abstract: Medical image fusion methods combine the salient details of medical images from the same modality or multiple modalities to reduce the redundancy in clinical pathology. This paper proposes a threshold-based decision map for the discrete wavelet coefficients of the source medical images. The fusion rules are implemented for both detail and approximate coefficients based on the decision map, and image fusion is carried out in the wavelet domain. The performance of the proposed method is evaluated using non-reference metrics such as peak signal to noise ratio, quality index, fusion factor and figure of merit. The objective metrics substantiate the performance of the fusion algorithm for the same modality and multimodality image fusion.
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