find_available_plugins skimage.io.find_available_plugins(loaded=False) [source] List available plugins. Parameters: loaded : bool If True, show only those plugins currently loaded. By default, all plugins are shown. Returns: p : dict Dictionary with plugin names as keys and exposed functions as values.

img_as_uint skimage.util.img_as_uint(image, force_copy=False) [source] Convert an image to 16-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 uint16 Output image. Notes Negative input values will be clipped. Positive values are scaled between 0 and 65535.

dilation skimage.morphology.dilation(image, selem=None, *args, **kwargs) [source] Return greyscale morphological dilation of an image. Morphological dilation sets a pixel at (i,j) to the maximum over all pixels in the neighborhood centered at (i,j). Dilation enlarges bright regions and shrinks dark regions. Parameters: image : ndarray Image array. selem : ndarray, optional The neighborhood expressed as a 2-D array of 1’s and 0’s. If None, use cross-shaped structuring element (connectivit

ellipse_perimeter skimage.draw.ellipse_perimeter() Generate ellipse perimeter coordinates. Parameters: cy, cx : int Centre coordinate of ellipse. yradius, xradius : int Minor and major semi-axes. (x/xradius)**2 + (y/yradius)**2 = 1. orientation : double, optional (default 0) Major axis orientation in clockwise direction as radians. shape : tuple, optional Image shape which is used to determine the maximum extent of output pixel coordinates. This is useful for ellipses which exceed th

img_as_uint skimage.img_as_uint(image, force_copy=False) [source] Convert an image to 16-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 uint16 Output image. Notes Negative input values will be clipped. Positive values are scaled between 0 and 65535.

corner_kitchen_rosenfeld skimage.feature.corner_kitchen_rosenfeld(image, mode='constant', cval=0) [source] Compute Kitchen and Rosenfeld corner measure response image. The corner measure is calculated as follows: (imxx * imy**2 + imyy * imx**2 - 2 * imxy * imx * imy) / (imx**2 + imy**2) Where imx and imy are the first and imxx, imxy, imyy the second derivatives. Parameters: image : ndarray Input image. mode : {‘constant’, ‘reflect’, ‘wrap’, ‘nearest’, ‘mirror’}, optional How to hand

Module: measure skimage.measure.approximate_polygon(coords, ...) Approximate a polygonal chain with the specified tolerance. skimage.measure.block_reduce(image, block_size) Down-sample image by applying function to local blocks. skimage.measure.compare_mse(im1, im2) Compute the mean-squared error between two images. skimage.measure.compare_nrmse(im_true, im_test) Compute the normalized root mean-squared error (NRMSE) between two images. skimage.measure.compare_psnr(im_true, im_test) Comput

xyz2lab skimage.color.xyz2lab(xyz, illuminant='D65', observer='2') [source] XYZ to CIE-LAB color space conversion. Parameters: xyz : array_like The image in XYZ format, in a 3- or 4-D array of shape (.., ..,[ ..,] 3). illuminant : {“A”, “D50”, “D55”, “D65”, “D75”, “E”}, optional The name of the illuminant (the function is NOT case sensitive). observer : {“2”, “10”}, optional The aperture angle of the observer. Returns: out : ndarray The image in CIE-LAB format, in a 3- or 4-D array

Module: exposure skimage.exposure.adjust_gamma(image[, ...]) Performs Gamma Correction on the input image. skimage.exposure.adjust_log(image[, gain, inv]) Performs Logarithmic correction on the input image. skimage.exposure.adjust_sigmoid(image[, ...]) Performs Sigmoid Correction on the input image. skimage.exposure.cumulative_distribution(image) Return cumulative distribution function (cdf) for the given image. skimage.exposure.equalize_adapthist(image, ...) Contrast Limited Adaptive Hist

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.