draw_multiblock_lbp
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skimage.feature.draw_multiblock_lbp(img, r, c, width, height, lbp_code=0, color_greater_block=[1, 1, 1], color_less_block=[0, 0.69, 0.96], alpha=0.5)
[source] -
Multi-block local binary pattern visualization.
Blocks with higher sums are colored with alpha-blended white rectangles, whereas blocks with lower sums are colored alpha-blended cyan. Colors and the
alpha
parameter can be changed.Parameters: img : ndarray of float or uint
Image on which to visualize the pattern.
r : int
Row-coordinate of top left corner of a rectangle containing feature.
c : int
Column-coordinate of top left corner of a rectangle containing feature.
width : int
Width of one of 9 equal rectangles that will be used to compute a feature.
height : int
Height of one of 9 equal rectangles that will be used to compute a feature.
lbp_code : int
The descriptor of feature to visualize. If not provided, the descriptor with 0 value will be used.
color_greater_block : list of 3 floats
Floats specifying the color for the block that has greater intensity value. They should be in the range [0, 1]. Corresponding values define (R, G, B) values. Default value is white [1, 1, 1].
color_greater_block : list of 3 floats
Floats specifying the color for the block that has greater intensity value. They should be in the range [0, 1]. Corresponding values define (R, G, B) values. Default value is cyan [0, 0.69, 0.96].
alpha : float
Value in the range [0, 1] that specifies opacity of visualization. 1 - fully transparent, 0 - opaque.
Returns: output : ndarray of float
Image with MB-LBP visualization.
References
[R146] Face Detection Based on Multi-Block LBP Representation. Lun Zhang, Rufeng Chu, Shiming Xiang, Shengcai Liao, Stan Z. Li http://www.cbsr.ia.ac.cn/users/scliao/papers/Zhang-ICB07-MBLBP.pdf
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