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<p>The paper illustrates the hybrid image fusion approach of brain images via a Pythagorean fuzzy set (PFS) subject to Pythagorean fuzzy theory, wherein the impact of vagueness in the design of base and detail layers is considered in the fusion framework. Primarily, we apply Gaussian two-scale decomposition to the input brain images, which divides the base and detail layers of the images. Further, we change the base layer brain image into the area of PFS, which contains three grades. Then, a saliency weight map is employed to describe the fused detail information of the two detail layer images. Furthermore, merge the combined base and detail layer data gathered from the input brain images, and a design for the intended fusion is created. Lastly, evaluation measures are put forward to validate the significance and efficiency of the recommended fusion design.</p>

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An innovative computer-aided MRI/PET image fusion approach using Pythagorean fuzzy environment

  • 期刊论文

  • 发表日期：

    2025年3月25日

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  • R. Premalatha,
  • K. Somasundaram

摘要

The paper illustrates the hybrid image fusion approach of brain images via a Pythagorean fuzzy set (PFS) subject to Pythagorean fuzzy theory, wherein the impact of vagueness in the design of base and detail layers is considered in the fusion framework. Primarily, we apply Gaussian two-scale decomposition to the input brain images, which divides the base and detail layers of the images. Further, we change the base layer brain image into the area of PFS, which contains three grades. Then, a saliency weight map is employed to describe the fused detail information of the two detail layer images. Furthermore, merge the combined base and detail layer data gathered from the input brain images, and a design for the intended fusion is created. Lastly, evaluation measures are put forward to validate the significance and efficiency of the recommended fusion design.