Similarity Measures

Similarity Measures is a quantitative metric used in image registration that belongs to the category of evaluation functions, specifically designed to assess the degree of spatial correspondence between two images by measuring the statistical or structural resemblance of their intensity patterns.

4.7K

Publications

357.2K

Citations

11.9K

Authors

3K

Institutions

Publications per year

2017–2026

1.3K

Authors

11.9K

  1. RC
    Ramon Carbó‐Dorca

    Universitat de Girona, Spain

    35 publications · 1.5K citations

    27

    h-index

  2. ZW
    Zhou Wang

    University of Waterloo, Canada

    25 publications · 10.9K citations

    23

    h-index

  3. JY
    Jun Ye

    Shaoxing University, China

    25 publications · 2.4K citations

    20

    h-index

  4. TM
    Tahir Mahmood

    International Islamic University, Islamabad, Pakistan

    23 publications · 1.2K citations

    18

    h-index

  5. MY
    Miin‐Shen Yang

    Chung Yuan Christian University, Taiwan

    17 publications · 1.6K citations

    16

    h-index

1–5 of 11.9K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 55 publications · 28.3K citations

    39

    h-index

  2. Bioinformatics

    60 publications · 8.6K citations

    38

    h-index

  3. IEEE Transactions on Image Processing

    53 publications · 8.9K citations

    34

    h-index

  4. IEEE Transactions on Medical Imaging

    43 publications · 5.4K citations

    32

    h-index

  5. BMC Bioinformatics

    62 publications · 4.2K citations

    30

    h-index

1–5