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  2. Phase correlation - Wikipedia

    en.wikipedia.org/wiki/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 .

  3. Structural similarity index measure - Wikipedia

    en.wikipedia.org/wiki/Structural_similarity...

    The r* cross-correlation metric is based on the variance metrics of SSIM. It's defined as r*(x, y) = ⁠ σ xy / σ x σ y ⁠ when σ x σ y ≠ 0, 1 when both standard deviations are zero, and 0 when only one is zero. It has found use in analyzing human response to contrast-detail phantoms. [18] SSIM has also been used on the gradient of ...

  4. Template matching - Wikipedia

    en.wikipedia.org/wiki/Template_matching

    Since cross correlation values are greatest when the values of the search and template pixels align, the best matching position (,) corresponds to the maximum value of over . Another way to handle translation problems on images using template matching is to compare the intensities of the pixels, using the sum of absolute differences (SAD) measure.

  5. Image registration - Wikipedia

    en.wikipedia.org/wiki/Image_registration

    Mutual information and normalized mutual information are the most popular image similarity measures for registration of multimodality images. Cross-correlation, sum of squared intensity differences and ratio image uniformity are commonly used for registration of images in the same modality.

  6. Cross-correlation - Wikipedia

    en.wikipedia.org/wiki/Cross-correlation

    The cross-correlation is similar in nature to the convolution of two functions. In an autocorrelation, which is the cross-correlation of a signal with itself, there will always be a peak at a lag of zero, and its size will be the signal energy.

  7. Computer stereo vision - Wikipedia

    en.wikipedia.org/wiki/Computer_stereo_vision

    Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera.By comparing information about a scene from two vantage points, 3D information can be extracted by examining the relative positions of objects in the two panels.

  8. Correlogram - Wikipedia

    en.wikipedia.org/wiki/Correlogram

    In the analysis of data, a correlogram is a chart of correlation statistics. For example, in time series analysis, a plot of the sample autocorrelations versus (the time lags) is an autocorrelogram. If cross-correlation is plotted, the result is called a cross-correlogram.

  9. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    For this purpose, the originally -normalized descriptor is first -normalized and the square root of each element is computed, followed by -renormalization. After these algebraic manipulations, RootSIFT descriptors can be normally compared using Euclidean distance , which is equivalent to using the Hellinger kernel on the original SIFT descriptors.