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Implementation and Comparative Study of Pyramid-based Image Fusion Techniques for Lumbar Spine Images

Engineering, Technology and Applied Science Research, ISSN: 1792-8036, Vol: 13, Issue: 4, Page: 11139-11145
2023
  • 0
    Citations
  • 0
    Usage
  • 4
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Captures
    4
  • Mentions
    1
    • News Mentions
      1
      • 1

Most Recent News

Gujarat Technological University Researchers Add New Study Findings to Research in Applied Sciences (Implementation and Comparative Study of Pyramid-based Image Fusion Techniques for Lumbar Spine Images)

2023 AUG 24 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Science Daily -- Investigators publish new report on applied sciences. According to

Article Description

Image fusion is a method of combining the necessary and relevant information from the set of source images into a single (fused) image which can be deemed to be more informative than the source. This paper discusses the implementation of various pyramid-based image fusion algorithms, such as the Laplacian pyramid, the ratio of the low-pass pyramid, the contrast pyramid, and the filter subtract decimate pyramid on multimodal CT and MR images of the lumbar spine. The fused images were evaluated using various objective evaluation quality metrics. The experimental results demonstrated that the ratio of the low pass pyramid achieved better performance compared to the other pyramids implemented, indicating that the fused image can also be used for further image fusion application or analysis purposes.

Bibliographic Details

Manan M. Nanavati; Mehul K. Shah

Engineering, Technology & Applied Science Research

Engineering; Materials Science; Computer Science

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