gives the correlation of image with kernel ker.


computes a generalized correlation in which the function f is used in place of Dot.

Details and Options


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Basic Examples  (2)

Blur an image by correlating it with a Gaussian matrix:

Find occurrences of a template in an image:

Scope  (5)

Data  (3)

Correlate a binary image with a disk-shaped kernel:

Correlate a grayscale image:

Correlate a 3D image:

Parameters  (2)

Use a Laplacian kernel:

Use a template:

The default correlation operator f is Dot:

Use a different correlation operator:

Generalizations & Extensions  (2)

Nonrectangular templates are better matched when used with a mask:

The correlation obtained using a mask is more robust to background changes:

Result of the template matching without using the mask:

Match rotated occurrences of a template by matching the template rotated using a range of angles:

Visualize the best matches:

Result of the template matching without taking into account multiple orientations:

Options  (3)

Padding  (3)

By default, a "Fixed" padding is used:

Specify a custom padding:

Padding->None normally returns an image smaller than the input image:

Applications  (2)

Isolate regions of interest in an image:

A basic face detector that uses the normalized correlation with an image of a pair of eyes:

Properties & Relations  (1)

ImageCorrelate gives an image of a real type:

Introduced in 2008
Updated in 2010