Normalized Cross-correlation
Normalized Cross-Correlation is a similarity metric used in template matching and volume registration that quantifies the degree of linear association between a template and a target region by normalizing their cross-correlation with respect to their respective magnitudes, thereby enabling robust comparison under varying intensities.
631
Publications
37K
Citations
2K
Authors
736
Institutions
Publications per year
2017–2026
167
Variants
Ncc
631
Fast Normalized Cross-Correlation
Jae-Chern Yoo, Tae Hee Han · Circuits Systems and Signal Processing · 2009 · 1.1K citations
Fast Normalized Cross-Correlation
John Lewis · 2010 · 743 citations
John Paparrizos, Luis Gravano · 2015 · 661 citations
1–5 of 631
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736

Chinese Academy of Sciences
Beijing, China
10 h-index
25 publications
1.6K citations
Duke University
Durham, United States
9 h-index
27 publications
3.6K citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
18 publications
1.1K citations

University of Toronto
Toronto, Canada
8 h-index
15 publications
303 citations
Tsinghua University
Beijing, China
7 h-index
27 publications
1.3K citations
Columbia University
New York, United States
7 h-index
19 publications
3.4K citations
Wuhan University
Wuhan, China
6 h-index
17 publications
325 citations
Sungkyunkwan University
Seoul, South Korea
6 h-index
18 publications
2.5K citations
1–8 of 736
18 publications · 1.8K citations
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17 publications · 605 citations
15
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12 publications · 766 citations
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JASA · 13 publications · 512 citations
12
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12 publications · 1K citations
11
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