moments-central

moments_central

skimage.measure.moments_central(image, cr, cc, order=3) [source]

Calculate all central image moments up to a certain order.

The center coordinates (cr, cc) can be calculated from the raw moments as: {m[0, 1] / m[0, 0], m[1, 0] / m[0, 0]}.

Note that central moments are translation invariant but not scale and rotation invariant.

Parameters:	image : 2D double or uint8 array Rasterized shape as image. cr : double Center row coordinate. cc : double Center column coordinate. order : int, optional Maximum order of moments. Default is 3.
Returns:	mu : (order + 1, order + 1) array Central image moments.

References

[R269]

Wilhelm Burger, Mark Burge. Principles of Digital Image Processing: Core Algorithms. Springer-Verlag, London, 2009.

[R270]

B. Jähne. Digital Image Processing. Springer-Verlag, Berlin-Heidelberg, 6. edition, 2005.

[R271]

T. H. Reiss. Recognizing Planar Objects Using Invariant Image Features, from Lecture notes in computer science, p. 676. Springer, Berlin, 1993.

[R272]

http://en.wikipedia.org/wiki/Image_moment

Examples

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>>> image = np.zeros((20, 20), dtype=np.double) >>> image[13:17, 13:17] = 1 >>> m = moments(image) >>> cr = m[0, 1] / m[0, 0] >>> cc = m[1, 0] / m[0, 0] >>> moments_central(image, cr, cc) array([[ 16.,   0.,  20.,   0.],        [  0.,   0.,   0.,   0.],        [ 20.,   0.,  25.,   0.],        [  0.,   0.,   0.,   0.]])