multiblock_lbp skimage.feature.multiblock_lbp(int_image, r, c, width, height) [source] 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, t

coffee skimage.data.coffee() [source] Coffee cup. This photograph is courtesy of Pikolo Espresso Bar. It contains several elliptical shapes as well as varying texture (smooth porcelain to course wood grain). Notes No copyright restrictions. CC0 by the photographer (Rachel Michetti).

moon skimage.data.moon() [source] Surface of the moon. This low-contrast image of the surface of the moon is useful for illustrating histogram equalization and contrast stretching.

pop skimage.io.pop() [source] Pop an image from the shared image stack. Returns: img : ndarray Image popped from the stack.