Correlation-based Matching

Correlation-Based Matching is a template matching technique that identifies the location of a template within an image by measuring the normalized cross-correlation between the template and local regions of the image, distinguishing itself through its reliance on statistical correlation as a similarity metric.

153

Publications

8.1K

Citations

394

Authors

173

Institutions

Publications per year

2017–2026

23

Authors

394

  1. WC
    Wei Chu

    Sichuan University, China

    4 publications · 72 citations

    4

    h-index

  2. JS
    John Song

    National Institute of Standards and Technology, United States

    4 publications · 72 citations

    4

    h-index

  3. AM
    Arif Mahmood

    Information Technology University, Pakistan

    3 publications · 169 citations

    3

    h-index

  4. MG
    M. Gueham

    Queen's University Belfast, United Kingdom

    3 publications · 69 citations

    3

    h-index

  5. HK
    Hitoshi Kiya

    Tokyo Metropolitan University, Japan

    3 publications · 76 citations

    3

    h-index

1–5 of 394

Venues

  1. 8

    h-index

  2. 7

    h-index

  3. IEEE Transactions on Image Processing

    4 publications · 336 citations

    4

    h-index

  4. Optics and Lasers in Engineering

    2 publications · 104 citations

    2

    h-index

  5. Journal of Computer Applications

    2 publications · 28 citations

    2

    h-index

1–5