diff --git a/examples/adhesion.py b/examples/adhesion.py
index 4c84543..b7ca58f 100644
--- a/examples/adhesion.py
+++ b/examples/adhesion.py
@@ -1,117 +1,127 @@
 #!/usr/bin/env python3
 # @file
 # @section LICENSE
 #
 # Copyright (©) 2016-2020 EPFL (École Polytechnique Fédérale de Lausanne),
 # Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
 #
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU Affero General Public License as published
 # by the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 #
 # This program is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU Affero General Public License for more details.
 #
 # You should have received a copy of the GNU Affero General Public License
 # along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 import tamaas as tm
 import matplotlib.pyplot as plt
 import numpy as np
 import argparse
 
+from matplotlib.colors import ListedColormap
+
 
 class AdhesionPython(tm.Functional):
     """
     Functional class that extends a C++ class and implements the virtual
     methods
     """
+
     def __init__(self, rho, gamma):
         tm.Functional.__init__(self)
         self.rho = rho
         self.gamma = gamma
 
     def computeF(self, gap, pressure):
         return -self.gamma * np.sum(np.exp(-gap / self.rho))
 
     def computeGradF(self, gap, gradient):
         gradient += self.gamma * np.exp(-gap / self.rho) / self.rho
 
 
 parser = argparse.ArgumentParser()
 parser.add_argument('--local-functional', dest="py_adh", action="store_true",
                     help="use the adhesion functional written in python")
 
 args = parser.parse_args()
 
 # Surface size
 n = 1024
 
 # Surface generator
 sg = tm.SurfaceGeneratorFilter2D()
 sg.setSizes([n, n])
 sg.setRandomSeed(0)
 
 # Spectrum
 spectrum = tm.Isopowerlaw2D()
 sg.setFilter(spectrum)
 
 # Parameters
 spectrum.q0 = 16
 spectrum.q1 = 16
 spectrum.q2 = 64
 spectrum.hurst = 0.8
 
 # Generating surface
 surface = sg.buildSurface()
 # surface /= tm.SurfaceStatistics.computeSpectralRMSSlope(surface)
 surface /= n
 # print(spectrum.rmsSlopes())
 # print(tm.SurfaceStatistics.computeRMSSlope(surface))
 
 plt.imshow(surface)
+plt.title('Rough surface')
 
 # Creating model
 model = tm.ModelFactory.createModel(tm.model_type_basic_2d, [1., 1.], [n, n])
 
 # Solver
 solver = tm.PolonskyKeerRey(model, surface, 1e-12,
                             tm.PolonskyKeerRey.gap,
                             tm.PolonskyKeerRey.gap)
 adhesion_params = {
   "rho": 2e-3,
   "surface_energy": 2e-5
 }
 
 # Use the python derived from C++ functional class
 if args.py_adh:
     adhesion = AdhesionPython(adhesion_params["rho"],
                               adhesion_params["surface_energy"])
 # Use the C++ class
 else:
     adhesion = tm.ExponentialAdhesionFunctional(surface)
     adhesion.setParameters(adhesion_params)
 
 solver.addFunctionalTerm(adhesion)
 
 # Solve for target pressure
 g_target = 5e-2
 solver.solve(g_target)
 
 tractions = model.getTraction()
 
 plt.figure()
 plt.imshow(tractions)
 plt.colorbar()
+plt.title('Contact tractions')
 
 plt.figure()
 zones = np.zeros_like(tractions)
 tol = 1e-6
 zones[tractions > tol] = 1
 zones[tractions < -tol] = -1
-plt.imshow(zones, cmap='Greys')
+plt.imshow(zones, cmap=ListedColormap(['white', 'gray', 'black']))
+plt.colorbar(ticks=[-2/3, 0, 2/3]).set_ticklabels([
+    'Adhesion', 'No Contact', 'Contact'
+])
+
+plt.title('Contact and Adhesion Zones')
 
 plt.show()
diff --git a/examples/rough_contact.py b/examples/rough_contact.py
index e6f6329..4cef430 100644
--- a/examples/rough_contact.py
+++ b/examples/rough_contact.py
@@ -1,70 +1,71 @@
 #!/usr/bin/env python3
 # @file
 # @section LICENSE
 #
 # Copyright (©) 2016-2020 EPFL (École Polytechnique Fédérale de Lausanne),
 # Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
 #
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU Affero General Public License as published
 # by the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 #
 # This program is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU Affero General Public License for more details.
 #
 # You should have received a copy of the GNU Affero General Public License
 # along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 import tamaas as tm
 import matplotlib.pyplot as plt
 
 # Initialize threads and fftw
 tm.set_log_level(tm.LogLevel.info)  # Show progression of solver
 
 # Surface size
 n = 512
 
 # Surface generator
 sg = tm.SurfaceGeneratorFilter2D()
 sg.setSizes([n, n])
 sg.random_seed = 0
 
 # Spectrum
 spectrum = tm.Isopowerlaw2D()
 sg.setFilter(spectrum)
 
 # Parameters
 spectrum.q0 = 16
 spectrum.q1 = 16
 spectrum.q2 = 64
 spectrum.hurst = 0.8
 
 # Generating surface
 surface = sg.buildSurface()
 # surface /= tm.SurfaceStatistics.computeSpectralRMSSlope(surface)
 surface /= n
 # print(spectrum.rmsSlopes())
 # print(tm.SurfaceStatistics.computeRMSSlope(surface))
 
 plt.imshow(surface)
 
 # Creating model
 model = tm.ModelFactory.createModel(tm.model_type_basic_2d, [1., 1.], [n, n])
 
 # Solver
 solver = tm.PolonskyKeerRey(model, surface, 1e-12,
                             tm.PolonskyKeerRey.pressure,
                             tm.PolonskyKeerRey.pressure)
 
 # Solve for target pressure
 p_target = 0.1
 solver.solve(p_target)
 
 plt.figure()
 plt.imshow(model.getTraction())
+plt.title('Contact tractions')
 print(model.getTraction().mean())
 
 plt.show()
diff --git a/examples/saturated.py b/examples/saturated.py
index 158203f..e576bde 100644
--- a/examples/saturated.py
+++ b/examples/saturated.py
@@ -1,65 +1,67 @@
 # -*- coding: utf-8 -*-
 # @file
 # @section LICENSE
 #
 # Copyright (©) 2016-2020 EPFL (École Polytechnique Fédérale de Lausanne),
 # Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
 #
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU Affero General Public License as published
 # by the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 #
 # This program is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU Affero General Public License for more details.
 #
 # You should have received a copy of the GNU Affero General Public License
 # along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 import tamaas as tm
 import numpy as np
 import matplotlib.pyplot as plt
 
 grid_size = 256
 load = 1.6
 p_sat = 100
 
 iso = tm.Isopowerlaw2D()
 iso.q0 = 4
 iso.q1 = 4
 iso.q2 = 16
 iso.hurst = 0.8
 
 sg = tm.SurfaceGeneratorFilter2D()
 sg.random_seed = 2
 sg.setSizes([grid_size, grid_size])
 sg.setSpectrum(iso)
 surface = sg.buildSurface()
 surface -= np.max(surface)
 
 model = tm.ModelFactory.createModel(tm.model_type.basic_2d,
                                     [1., 1.], [grid_size, grid_size])
 model.E = 1.
 model.nu = 0
 esolver = tm.PolonskyKeerRey(model, surface, 1e-12,
                              tm.PolonskyKeerRey.pressure,
                              tm.PolonskyKeerRey.pressure)
 
 esolver.solve(load)
 
 elastic_tractions = model['traction'].copy()
 plt.imshow(elastic_tractions)
+plt.title('Elastic contact tractions')
 plt.colorbar()
 
 model['traction'][:] = 0.
 solver = tm.KatoSaturated(model, surface, 1e-12, p_sat)
 solver.setDumpFrequency(1)
 solver.setMaxIterations(200)
 solver.solve(load)
 
 plt.figure()
 plt.imshow(model['traction'])
+plt.title('Saturated contact tractions')
 plt.colorbar()
 plt.show()