ENH: Adding python sample for ConvolveImageWithKernel

Author: PranjalSahu

src/Filtering/Convolution/ConvolveImageWithKernel/Code.py

@@ -0,0 +1,37 @@
+import itk
+import numpy as np
+import argparse
+
+parser = argparse.ArgumentParser(description="Convolve Image With Kernel")
+parser.add_argument("input_image")
+parser.add_argument("width", type=int)
+args = parser.parse_args()
+
+PixelType = itk.F
+
+# Read Image in float data type
+inputImage = itk.imread(args.input_image, PixelType)
+
+width = 10
+if args.width:
+    width = args.width
+
+
+def CreateSmoothKernel(width):
+    return np.ones([width, width], "float32") / (width * width)
+
+
+kernel = CreateSmoothKernel(width)
+kernel_image = itk.image_from_array(kernel)
+
+# Convolve image with kernel.
+filteredImage = itk.convolution_image_filter(inputImage, kernel_image=kernel_image)
+
+
+# Visualize the result using matplotlib
+import matplotlib.pyplot as plt
+
+plot_image = np.concatenate((inputImage, filteredImage), axis=1)
+plt.imshow(plot_image)
+plt.title("Visualize using Matplotlib, Kernel width = " + str(width))
+plt.show()

src/Filtering/Convolution/ConvolveImageWithKernel/Documentation.rst

@@ -26,6 +26,11 @@ Results
 
   Output In VTK Window
 
+.. figure:: MatplotlibVisualizeConvolution.png
+  :scale: 70%
+
+  Output In Matplotlib
+
 Code
 ----
 

src/Filtering/Convolution/ConvolveImageWithKernel/MatplotlibVisualizeConvolution.png.sha512

@@ -0,0 +1 @@
+082d1d49439879f93946e39675c62a6732fbb1d17aeb7ecbc63c6ca7e350b34416d3764c355e4c1c00583fd8231eb79f01cc6c618d5cda7eee8a267df64db7a3