skimage2.feature.multiblock_lbp

skimage2.feature.multiblock_lbp(int_image, r, c, width, height)

Multi-block local binary pattern (MB-LBP).

The features are calculated similarly to local binary patterns (LBPs), (See local_binary_pattern()) except that summed blocks are used instead of individual pixel values.

MB-LBP is an extension of LBP that can be computed on multiple scales in constant time using the integral image. Nine equally-sized rectangles are used to compute a feature. For each rectangle, the sum of the pixel intensities is computed. Comparisons of these sums to that of the central rectangle determine the feature, similarly to LBP.

Parameters:

int_image(N, M) array

Integral image.

rint

Row-coordinate of top left corner of a rectangle containing feature.

cint

Column-coordinate of top left corner of a rectangle containing feature.

widthint

Width of one of the 9 equal rectangles that will be used to compute a feature.

heightint

Height of one of the 9 equal rectangles that will be used to compute a feature.

Returns:

outputint

8-bit MB-LBP feature descriptor.

References

[1]

L. Zhang, R. Chu, S. Xiang, S. Liao, S.Z. Li. “Face Detection Based on Multi-Block LBP Representation”, In Proceedings: Advances in Biometrics, International Conference, ICB 2007, Seoul, Korea. http://www.cbsr.ia.ac.cn/users/scliao/papers/Zhang-ICB07-MBLBP.pdf DOI:10.1007/978-3-540-74549-5_2