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Phase correlation

Phase correlation is an approach to estimate the relative translative offset between two similar images (digital image correlation) or other data sets. It is commonly used in image registration and relies on a frequency-domain representation of the data, usually calculated by fast Fourier transforms. The term is applied particularly to a subset of…

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Phase correlation

Nodes37
Edges36
Triples20
Avg. degree1.95
Density0.054054
Components1

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Phase correlation

Top relations

related to Limitations · 7
Phase correlation → For, Fourier, Gaussian, If, In, The, Tukey
related to Benefits · 4
Phase correlation → Due, Fourier, The, Unlike
related to Example · 3
Phase correlation → Accordingly, Gaussian, The
is a · 1
Phase correlation → approach to estimate the relative translative offset between two similar images
has application · 1
Phase correlation → Phase

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Important terminology

images phase fourier method methods correlation peak displaystyle transform image shift data two representation subpixel interpolation function inverse also cross-correlation

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Phase correlationis aapproach to estimate the relative translative offset between two similar images0.90text
parabolic interpolation have been usedinstance ofCommon peak interpolation methods0.80text
and the OpenCV computer vision package uses a centroid-based methodinstance ofCommon peak interpolation methods0.80text
though these generally have inferior accuracy compared to more sophisticated methods.Because the Fourier representation of the data has already been computedinstance ofCommon peak interpolation methods0.80text
it is especially convenient to use the Fourier shift theorem with real-valuedinstance ofCommon peak interpolation methods0.80text
Phase correlationhas applicationPhase0.60section
Phase correlationrelated to BenefitsUnlike0.60section
Phase correlationrelated to BenefitsThe0.60section
Phase correlationrelated to BenefitsDue0.60section
Phase correlationrelated to BenefitsFourier0.60section
Phase correlationrelated to ExampleThe0.60section
Phase correlationrelated to ExampleGaussian0.60section

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