Module: util
skimage.util.apply_parallel(function, array) | Map a function in parallel across an array. |
skimage.util.crop(ar, crop_width[, copy, order]) | Crop array ar by crop_width along each dimension. |
skimage.util.dtype_limits(image[, clip_negative]) | Return intensity limits, i.e. |
skimage.util.img_as_bool(image[, force_copy]) | Convert an image to boolean format. |
skimage.util.img_as_float(image[, force_copy]) | Convert an image to double-precision floating point format. |
skimage.util.img_as_int(image[, force_copy]) | Convert an image to 16-bit signed integer format. |
skimage.util.img_as_ubyte(image[, force_copy]) | Convert an image to 8-bit unsigned integer format. |
skimage.util.img_as_uint(image[, force_copy]) | Convert an image to 16-bit unsigned integer format. |
skimage.util.pad(array, pad_width[, mode]) | Pads an array. |
skimage.util.random_noise(image[, mode, ...]) | Function to add random noise of various types to a floating-point image. |
skimage.util.regular_grid(ar_shape, n_points) | Find n_points regularly spaced along ar_shape. |
skimage.util.unique_rows(ar) | Remove repeated rows from a 2D array. |
skimage.util.view_as_blocks(arr_in, block_shape) | Block view of the input n-dimensional array (using re-striding). |
skimage.util.view_as_windows(arr_in, ...[, step]) | Rolling window view of the input n-dimensional array. |
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