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vision.Autocorrelator System object

Compute 2-D autocorrelation of input matrix

Description

The Autocorrelator object computes 2-D autocorrelation of input matrix.

Note

Starting in R2016b, instead of using the step method to perform the operation defined by the System object™, you can call the object with arguments, as if it were a function. For example, y = step(obj,x) and y = obj(x) perform equivalent operations.

Construction

H = vision.Autocorrelator returns a System object, H, that performs two-dimensional auto-correlation of an input matrix.

H = vision.Autocorrelator(Name,Value) returns a 2-D autocorrelation System object, H, with each specified property set to the specified value. You can specify additional name-value pair arguments in any order as (Name1, Value1,...,NameN,ValueN).

Properties

 Fixed-Point Properties

Methods

stepCompute cross-correlation of two input matrices
Common to All System Objects
clone

Create System object with same property values

getNumInputs

Expected number of inputs to a System object

getNumOutputs

Expected number of outputs of a System object

isLocked

Check locked states of a System object (logical)

release

Allow System object property value changes

Examples

expand all

   hac2d = vision.Autocorrelator;
    x = [1 2;2 1];
    y = step(hac2d,x)
y = 

     1     4     4
     4    10     4
     4     4     1

Algorithms

This object implements the algorithm, inputs, and outputs described on the 2-D Autocorrelation block reference page. The object properties correspond to the block parameters.

Extended Capabilities

Introduced in R2012a