CheckBox class skimage.viewer.widgets.CheckBox(name, value=False, alignment='center', ptype='kwarg', callback=None) [source] Bases: skimage.viewer.widgets.core.BaseWidget CheckBox widget Parameters: name : str Name of CheckBox parameter. If this parameter is passed as a keyword argument, it must match the name of that keyword argument (spaces are replaced with underscores). In addition, this name is displayed as the name of the CheckBox. value: {False, True}, optional Initial state of th

checkerboard skimage.data.checkerboard() [source] Checkerboard image. Checkerboards are often used in image calibration, since the corner-points are easy to locate. Because of the many parallel edges, they also visualise distortions particularly well.

canny skimage.feature.canny(image, sigma=1.0, low_threshold=None, high_threshold=None, mask=None, use_quantiles=False) [source] Edge filter an image using the Canny algorithm. Parameters: image : 2D array Greyscale input image to detect edges on; can be of any dtype. sigma : float Standard deviation of the Gaussian filter. low_threshold : float Lower bound for hysteresis thresholding (linking edges). If None, low_threshold is set to 10% of dtype’s max. high_threshold : float Upper bo

canny skimage.filters.canny(*args, **kwargs) [source] Deprecated function. Use skimage.feature.canny instead.

camera skimage.data.camera() [source] Gray-level “camera” image. Often used for segmentation and denoising examples.

call_plugin skimage.io.call_plugin(kind, *args, **kwargs) [source] Find the appropriate plugin of ‘kind’ and execute it. Parameters: kind : {‘imshow’, ‘imsave’, ‘imread’, ‘imread_collection’} Function to look up. plugin : str, optional Plugin to load. Defaults to None, in which case the first matching plugin is used. *args, **kwargs : arguments and keyword arguments Passed to the plugin function.

BRIEF class skimage.feature.BRIEF(descriptor_size=256, patch_size=49, mode='normal', sigma=1, sample_seed=1) [source] Bases: skimage.feature.util.DescriptorExtractor BRIEF binary descriptor extractor. BRIEF (Binary Robust Independent Elementary Features) is an efficient feature point descriptor. It is highly discriminative even when using relatively few bits and is computed using simple intensity difference tests. For each keypoint, intensity comparisons are carried out for a specifically di

Button class skimage.viewer.widgets.Button(name, callback) [source] Bases: skimage.viewer.widgets.core.BaseWidget Button which calls callback upon click. Parameters: name : str Name of button. callback : callable f() Function to call when button is clicked. __init__(name, callback) [source]

block_reduce skimage.measure.block_reduce(image, block_size, func=, cval=0) [source] Down-sample image by applying function to local blocks. Parameters: image : ndarray N-dimensional input image. block_size : array_like Array containing down-sampling integer factor along each axis. func : callable Function object which is used to calculate the return value for each local block. This function must implement an axis parameter such as numpy.sum or numpy.min. cval : float Constant paddin

bottomhat skimage.filters.rank.bottomhat(image, selem, out=None, mask=None, shift_x=False, shift_y=False) [source] Local bottom-hat of an image. This filter computes the morphological closing of the image and then subtracts the result from the original image. Parameters: image : 2-D array (uint8, uint16) Input image. selem : 2-D array The neighborhood expressed as a 2-D array of 1’s and 0’s. out : 2-D array (same dtype as input) If None, a new array is allocated. mask : 2-D array Mas