Utilities

def img_as_float(image, force_copy=False):
    """Convert image to floating point format."""

def img_as_float32(image, force_copy=False):
    """Convert image to 32-bit float."""

def img_as_float64(image, force_copy=False):
    """Convert image to 64-bit float."""

def img_as_uint(image, force_copy=False):
    """Convert image to unsigned integer."""

def img_as_int(image, force_copy=False):
    """Convert image to signed integer."""

def img_as_ubyte(image, force_copy=False):
    """Convert image to unsigned byte (0-255)."""

def img_as_bool(image, force_copy=False):
    """Convert image to boolean."""

def dtype_limits(dtype, clip_negative=True):
    """Get intensity limits for data type."""

def crop(ar, crop_width, copy=False, order='K'):
    """Crop array along each axis."""

def view_as_blocks(arr_in, block_shape):
    """View array as overlapping blocks."""

def view_as_windows(arr_in, window_shape, step=1):
    """View array as sliding windows."""

def montage(arr_in, padding_width=0, fill=0, grid_shape=None, multichannel=False, rescale_intensity=False, channel_axis=None):
    """Create image montage from array of images."""

def random_noise(image, mode='gaussian', seed=None, clip=True, **kwargs):
    """Add various types of random noise to image."""

def invert(image, signed_float=False):
    """Invert image intensities."""

def map_array(input_arr, input_vals, output_vals, out=None):
    """Map input array values to output values."""

def compare_images(image1, image2, method='diff'):
    """Compare two images using specified method."""

def lookfor(what):
    """Search for keywords in function docstrings."""

from typing import Union, Optional, Tuple
from numpy.typing import NDArray
import numpy as np

DataType = type
IntensityLimits = Tuple[float, float]
NoiseMode = str
ArrayWindow = NDArray[np.number]