Module: novice

ransac skimage.measure.ransac(data, model_class, min_samples, residual_threshold, is_data_valid=None, is_model_valid=None, max_trials=100

pop_percentile skimage.filters.rank.pop_percentile(image, selem, out=None, mask=None, shift_x=False, shift_y=False, p0=0

gradient_percentile skimage.filters.rank.gradient_percentile(image, selem, out=None, mask=None, shift_x=False, shift_y=False

pyramid_expand skimage.transform.pyramid_expand(image, upscale=2, sigma=None, order=1, mode='reflect', cval=0)

load_surf skimage.io.load_surf(f)

mean_percentile skimage.filters.rank.mean_percentile(image, selem, out=None, mask=None, shift_x=False, shift_y=False

img_as_float skimage.img_as_float(image, force_copy=False)

ImageViewer class skimage.viewer.viewers.ImageViewer(image, useblit=True)

equalize skimage.filters.rank.equalize(image, selem, out=None, mask=None, shift_x=False, shift_y=False)