adjust_contrast(im[, lims, percent])
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Rescale the intensity of the image. |
align(im, ref[, method])
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Use one of a variety of algroithms to align two images. |
convert(image, dtype[, force_copy, uniform, ...])
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Convert an image to the requested data-type. |
correct_drift(im, ref, **kwargs)
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Align images to correct for image drift. |
subtract_image(im, background[, contrast, ...])
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Subtract a background image from the ImageArray. |
fft(im[, shift, phase, remove_dc, gaussian, ...])
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Perform a 2d fft of the image and shift the result to get zero frequency in the centre. |
filter_image(im[, sigma])
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Alias for skimage.filters.gaussian. |
gridimage(im[, points, xi, method, ...])
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Use scipy.interpolate.griddata() to shift the image to a regular grid of coordinates. |
hist(im, *args, **kwargs)
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Pass through to matplotlib.pyplot.hist() function. |
imshow(im[, figure, ax, title, title_args, ...])
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Quickly plot of image. |
level_image(im[, poly_vert, poly_horiz, ...])
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Subtract a polynomial background from image. |
normalise(im[, scale, sample, limits, ...])
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Norm alise the data to a fixed scale. |
profile_line(img[, src, dst, linewidth, ...])
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Wrap sckit-image method of the same name to get a line_profile. |
quantize(im, output[, levels])
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Quantise the image data into fixed levels given by a mapping. |
radial_coordinates(im[, centre, pixel_size, ...])
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Return a map of the radial coordinates of an image from a given centre, with adjustments for pixel size. |
radial_profile(im[, angle, r, centre, ...])
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Extract a radial profile line from an image. |
remove_outliers(im[, percentiles, replace])
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Find values of the data that are beyond a percentile of the overall distribution and replace them. |
rotate(im, angle[, resize, center, order, ...])
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Rotate image by a certain angle around its center. |
translate(im, translation[, add_metadata, ...])
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Translate the image. |
translate_limits(im, translation[, reverse])
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Find the limits of an image after a translation. |
plot_histogram(im[, bins])
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Plot the histogram and cumulative distribution for the image. |
threshold_minmax(im[, threshmin, threshmax])
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Return a boolean array which is thresholded between threshmin and threshmax. |
do_nothing(image)
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Nulop function for testing the integration into ImageArray. |
denoise(im[, weight])
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Rename the skimage restore function. |