MATLAB
imshowpair
figure,imshowpair(X0,Twarp,'falsecolor')
Python
https://github.com/lebedov/imshowpair
#!/usr/bin/env python3
# Copyright (c) 2018, Lev E. Givon
# All rights reserved.
# Distributed under the terms of the BSD license:
# http://www.opensource.org/licenses/bsd-license
import matplotlib.pyplot as plt
import numpy as np
def imshowpair(a, b, method=None, show_all=True, axes_visible=False, cmap=None,
interpolation=None, grid=False, *args, **kwargs):
"""
Compare images.
Parameters
----------
a, b : numpy.ndarray
Images to compare.
method : callable
Callable to apply to images. Must support at least two arguments;
additional specified arguments are passed to `method`.
If None, both images are displayed side by side.
show_all : bool
If True and `method` is defined, display original images
alongside `method(a, b)`.
axes_visible : bool
Show axes if True.
cmap : matplotlib.colors.Colormap
Color map to use when displaying images.
interpolation : str
Interpolation method for `imshow` to use.
grid : bool
If True, display grid.
"""
def turn_off_ticks(ax):
for tic in ax.xaxis.get_major_ticks():
tic.tick1On = tic.tick2On = False
for tic in ax.yaxis.get_major_ticks():
tic.tick1On = tic.tick2On = False
a = np.asarray(a)
b = np.asarray(b)
a_shape = a.shape
b_shape = b.shape
ax_list = []
if method == None:
ax0 = ax = plt.subplot(121)
plt.imshow(a, origin='upper', cmap=cmap, interpolation=interpolation)
plt.grid(grid)
turn_off_ticks(ax)
ax_list.append(ax)
ax = plt.subplot(122, sharex=ax0, sharey=ax0)
plt.imshow(b, origin='upper', cmap=cmap, interpolation=interpolation)
plt.grid(grid)
turn_off_ticks(ax)
if a_shape == b_shape:
ax.set_yticklabels([])
ax_list.append(ax)
plt.subplots_adjust()
elif callable(method):
c = method(a, b, *args, **kwargs)
c_shape = c.shape
if show_all:
ax0 = ax = plt.subplot(131)
plt.imshow(a, origin='upper', cmap=cmap, interpolation=interpolation)
plt.grid(grid)
turn_off_ticks(ax)
ax_list.append(ax)
ax = plt.subplot(132, sharex=ax0, sharey=ax0)
plt.imshow(b, origin='upper', cmap=cmap, interpolation=interpolation)
plt.grid(grid)
turn_off_ticks(ax)
if a_shape == b_shape:
ax.set_yticklabels([])
ax_list.append(ax)
ax = plt.subplot(133, sharex=ax0, sharey=ax0)
plt.imshow(c, origin='upper', cmap=cmap, interpolation=interpolation)
plt.grid(grid)
turn_off_ticks(ax)
plt.subplots_adjust()
if c_shape == b_shape:
ax.set_yticklabels([])
ax_list.append(ax)
else:
ax = plt.subplot(111)
plt.imshow(c, origin='upper', cmap=cmap, interpolation=interpolation)
plt.grid(grid)
turn_off_ticks(ax)
if c_shape == b_shape:
ax.set_yticklabels([])
ax_list.append(ax)
else:
NotImplementedError
if not axes_visible:
for ax in ax_list:
ax.set_xticklabels([])
ax.set_yticklabels([])