`skimage.feature.util:plot_matched_features`

source: /dev/scikit-image/src/skimage/feature/util.py :44

Signature

   def     plot_matched_features (    image0    ,    image1    ,  * ,     keypoints0    ,    keypoints1    ,    matches    ,    ax    ,    keypoints_color    =  k   ,    matches_color    =  None   ,    only_matches    =  False   ,    alignment    =  horizontal     )

Summary

Plot matched features between two images.

Extended Summary

Parameters

image0 : (N, M [, 3]) array: First image.
image1 : (N, M [, 3]) array: Second image.
keypoints0 : ndarray of shape (K1, 2): First keypoint coordinates as (row, col).
keypoints1 : ndarray of shape (K2, 2): Second keypoint coordinates as (row, col).
matches : (Q, 2) array: Indices of corresponding matches in first and second sets of descriptors, where matches[:, 0] (resp. matches[:, 1]) contains the indices in the first (resp. second) set of descriptors.
ax : matplotlib.axes.Axes: The Axes object where the images and their matched features are drawn.
keypoints_color : matplotlib color, optional: Color for keypoint locations.
matches_color : matplotlib color or sequence thereof, optional: Single color or sequence of colors for each line defined by matches, which connect keypoint matches. See ^[1] for an overview of supported color formats. By default, colors are picked randomly.
only_matches : bool, optional: Set to True to plot matches only and not the keypoint locations.
alignment : {'horizontal', 'vertical'}, optional: Whether to show the two images side by side ('horizontal'), or one above the other ('vertical').

Notes

To make a sequence of colors passed to matches_color work for any number of matches, you can wrap that sequence in itertools.cycle.

Aliases

skimage.feature.plot_matched_features