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Multimodality based medical image fusion is a developing technology in which medical images are fused with complementary details. In the existing multimodal fusion techniques, low contrast and color distortions are caused during image integration. Preserving significant detail in best contrast is still challenging one. In this work, a unique technique for multimodality based image fusion is proposed based on Essential Patch Corrosion (EPC) and Effective Compatible Cloud Model (CCM). First, the source images are decomposed into multiple sub-images in which the EPC technique is applied to retrieve salient features for discrimination. Second, the CCM is applied to fuse the significant details from the images. Additionally, Salience Equivalent Mechanism (SEM) along with CCM is used to merge the residual details. Finally, reconstructing the image is done using inverse EPC and the experimental demonstration for this proposed system is given. The proposed work shows the improvement significantly with maximum contrast and minimized color distortion in the target images.

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EPC-CCM Based Salience Equivalent Mechanism for Multimodal Medical Image

  • 会议论文

  • 发表日期：

    2026年

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  • Nalini Manogaran,
  • Resmi R. Nair,
  • Suresh Annamalai,
  • Balamurugan Balusamy,
  • Parimala Veluvali,
  • Sushama Tanwar

摘要

Multimodality based medical image fusion is a developing technology in which medical images are fused with complementary details. In the existing multimodal fusion techniques, low contrast and color distortions are caused during image integration. Preserving significant detail in best contrast is still challenging one. In this work, a unique technique for multimodality based image fusion is proposed based on Essential Patch Corrosion (EPC) and Effective Compatible Cloud Model (CCM). First, the source images are decomposed into multiple sub-images in which the EPC technique is applied to retrieve salient features for discrimination. Second, the CCM is applied to fuse the significant details from the images. Additionally, Salience Equivalent Mechanism (SEM) along with CCM is used to merge the residual details. Finally, reconstructing the image is done using inverse EPC and the experimental demonstration for this proposed system is given. The proposed work shows the improvement significantly with maximum contrast and minimized color distortion in the target images.