astronaut skimage.data.astronaut() [source] Colour image of the astronaut Eileen Collins. Photograph of Eileen Collins, an American astronaut. She was selected as an astronaut in 1992 and first piloted the space shuttle STS-63 in 1995. She retired in 2006 after spending a total of 38 days, 8 hours and 10 minutes in outer space. This image was downloaded from the NASA Great Images database <http://grin.hq.nasa.gov/ABSTRACTS/GPN-2000-001177.html>`__. No known copyright restrictions, rele

geometric_mean skimage.filters.rank.geometric_mean(image, selem, out=None, mask=None, shift_x=False, shift_y=False) [source] Return local geometric mean of an 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 : ndarray Mask array that defines (>0) area of the image included in the local neighborhood. If None, the

hsobel skimage.filters.hsobel(*args, **kwargs) [source] Deprecated function. Use skimage.filters.sobel_h instead. Find the horizontal edges of an image using the Sobel transform. Parameters: image : 2-D array Image to process. mask : 2-D array, optional An optional mask to limit the application to a certain area. Note that pixels surrounding masked regions are also masked to prevent masked regions from affecting the result. Returns: output : 2-D array The absolute Sobel edge map. N

img_as_ubyte skimage.img_as_ubyte(image, force_copy=False) [source] Convert an image to 8-bit unsigned integer format. Parameters: image : ndarray Input image. force_copy : bool Force a copy of the data, irrespective of its current dtype. Returns: out : ndarray of ubyte (uint8) Output image. Notes Negative input values will be clipped. Positive values are scaled between 0 and 255.

LineTool class skimage.viewer.canvastools.LineTool(manager, on_move=None, on_release=None, on_enter=None, maxdist=10, line_props=None, handle_props=None, **kwargs) [source] Bases: skimage.viewer.canvastools.base.CanvasToolBase Widget for line selection in a plot. Parameters: manager : Viewer or PlotPlugin. Skimage viewer or plot plugin object. on_move : function Function called whenever a control handle is moved. This function must accept the end points of line as the only argument. on_

circle skimage.draw.circle(r, c, radius, shape=None) [source] Generate coordinates of pixels within circle. Parameters: r, c : double Centre coordinate of circle. radius: double Radius of circle. shape : tuple, optional Image shape which is used to determine the maximum extent of output pixel coordinates. This is useful for circles which exceed the image size. By default the full extent of the circle are used. Returns: rr, cc : ndarray of int Pixel coordinates of circle. May be use

hscharr skimage.filters.hscharr(*args, **kwargs) [source] Deprecated function. Use skimage.filters.scharr_h instead. Find the horizontal edges of an image using the Scharr transform. Parameters: image : 2-D array Image to process. mask : 2-D array, optional An optional mask to limit the application to a certain area. Note that pixels surrounding masked regions are also masked to prevent masked regions from affecting the result. Returns: output : 2-D array The absolute Scharr edge map

subdivide_polygon skimage.measure.subdivide_polygon(coords, degree=2, preserve_ends=False) [source] Subdivision of polygonal curves using B-Splines. Note that the resulting curve is always within the convex hull of the original polygon. Circular polygons stay closed after subdivision. Parameters: coords : (N, 2) array Coordinate array. degree : {1, 2, 3, 4, 5, 6, 7}, optional Degree of B-Spline. Default is 2. preserve_ends : bool, optional Preserve first and last coordinate of non-circ

imshow_collection skimage.io.imshow_collection(ic, plugin=None, **plugin_args) [source] Display a collection of images. Parameters: ic : ImageCollection Collection to display. plugin : str Name of plugin to use. By default, the different plugins are tried until a suitable candidate is found. Other Parameters: plugin_args : keywords Passed to the given plugin.

References [R303] François Orieux, Jean-François Giovannelli, and Thomas Rodet, “Bayesian estimation of regularization and point spread function parameters for Wiener-Hunt deconvolution”, J. Opt. Soc. Am. A 27, 1593-1607 (2010) http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-27-7-1593 [R304] Richardson, William Hadley, “Bayesian-Based Iterative Method of Image Restoration”. JOSA 62 (1): 55–59. doi:10.1364/JOSA.62.000055, 1972 [R305] B. R. Hunt “A matrix theory proof of the disc