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System object: vision.CornerDetector
Package: vision

Detect corners in input image


LOC = step(cornerDetector,I)
METRIC = step(cornerDetector,I)
[LOC,METRIC] = step(cornerDetector,I)


    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.

LOC = step(cornerDetector,I) returns corners in the grayscale input image I. The step method outputs the location of detected corners, specified as an M-by-2 matrix of [x y] coordinates, where M is the number of detected corners. M can be less than or equal to the value specified by the MaximumCornerCount property.

METRIC = step(cornerDetector,I) returns a matrix, METRIC, with corner metric values. This applies when you set the MetricMatrixOutputPort property to true. The output, METRIC, represents corner strength. The size of the METRIC matrix is the same as that of the input image.

[LOC,METRIC] = step(cornerDetector,I) returns the locations of the corners in the M-by-2 matrix, LOC, and the corner metric matrix in METRIC. This applies when you set both the CornerLocationOutputPort and MetricMatrixOutputPort properties to true.

    Note:   H specifies the System object on which to run this step method.

    The object performs an initialization the first time the step method is executed. This initialization locks nontunable properties (MATLAB) and input specifications, such as dimensions, complexity, and data type of the input data. If you change a nontunable property or an input specification, the System object issues an error. To change nontunable properties or inputs, you must first call the release method to unlock the object.

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