corner_moravec(image, window_size=1)

This is one of the simplest corner detectors and is comparatively fast but has several limitations (e.g. not rotation invariant).

Parameters

image : ndarray

Input image.

window_size : int, optional

Window size.

Returns

response : ndarray

Moravec response image.

Compute Moravec corner measure response image.

Examples

This example is valid syntax, but we were not able to check execution

>>> from skimage.feature import corner_moravec
... square = np.zeros([7, 7])
... square[3, 3] = 1
... square.astype(int)
array([[0, 0, 0, 0, 0, 0, 0],
       [0, 0, 0, 0, 0, 0, 0],
       [0, 0, 0, 0, 0, 0, 0],
       [0, 0, 0, 1, 0, 0, 0],
       [0, 0, 0, 0, 0, 0, 0],
       [0, 0, 0, 0, 0, 0, 0],
       [0, 0, 0, 0, 0, 0, 0]])

This example is valid syntax, but we were not able to check execution

>>> corner_moravec(square).astype(int)
array([[0, 0, 0, 0, 0, 0, 0],
       [0, 0, 0, 0, 0, 0, 0],
       [0, 0, 1, 1, 1, 0, 0],
       [0, 0, 1, 2, 1, 0, 0],
       [0, 0, 1, 1, 1, 0, 0],
       [0, 0, 0, 0, 0, 0, 0],
       [0, 0, 0, 0, 0, 0, 0]])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.feature.corner.corner_moravec skimage.feature.corner_cy._corner_moravec

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All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

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File: /skimage/feature/corner.py#1027
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