skimage2.feature.draw_multiblock_lbp#
- skimage2.feature.draw_multiblock_lbp(image, 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
alphaparameter can be changed.- Parameters:
- imagendarray of float or uint
Image on which to visualize the pattern.
- 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 9 equal rectangles that will be used to compute a feature.
- heightint
Height of one of 9 equal rectangles that will be used to compute a feature.
- lbp_codeint
The descriptor of feature to visualize. If not provided, the descriptor with 0 value will be used.
- color_greater_blocktuple 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_blocktuple 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).
- alphafloat
Value in the range [0, 1] that specifies opacity of visualization. 1 - fully transparent, 0 - opaque.
- Returns:
- outputndarray of float
Image with MB-LBP visualization.
References
[1]L. Zhang, R. Chu, S. Xiang, S. Liao, S.Z. Li. âFace Detection Based on Multi-Block LBP Representationâ, 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
