skimage2.feature.local_binary_pattern

skimage2.feature.local_binary_pattern(image, P, R, method='default')

Compute the local binary patterns (LBP) of an image.

LBP is a visual descriptor often used in texture classification.

Parameters:

image(M, N) array

2D grayscale image.

Pint

Number of circularly symmetric neighbor set points (quantization of the angular space).

Rfloat

Radius of circle (spatial resolution of the operator).

method{‘default’, ‘ror’, ‘uniform’, ‘nri_uniform’, ‘var’}, optional

Method to determine the pattern:

default

Original local binary pattern which is grayscale invariant but not rotation invariant.

ror

Extension of default pattern which is grayscale invariant and rotation invariant.

uniform

Uniform pattern which is grayscale invariant and rotation invariant, offering finer quantization of the angular space. For details, see [1].

nri_uniform

Variant of uniform pattern which is grayscale invariant but not rotation invariant. For details, see [2] and [3].

var

Variance of local image texture (related to contrast) which is rotation invariant but not grayscale invariant.

Returns:

output(M, N) array

LBP image.

References

[1]

T. Ojala, M. Pietikainen, T. Maenpaa, “Multiresolution gray-scale and rotation invariant texture classification with local binary patterns”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 971-987, July 2002 DOI:10.1109/TPAMI.2002.1017623

[2]

T. Ahonen, A. Hadid and M. Pietikainen. “Face recognition with local binary patterns”, in Proc. Eighth European Conf. Computer Vision, Prague, Czech Republic, May 11-14, 2004, pp. 469-481, 2004. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.6851 DOI:10.1007/978-3-540-24670-1_36

[3]

T. Ahonen, A. Hadid and M. Pietikainen, “Face Description with Local Binary Patterns: Application to Face Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 2037-2041, Dec. 2006 DOI:10.1109/TPAMI.2006.244