Add files via upload

Author: sichkar-valentyn

Converting_RGB_to_GreyScale.py

@@ -0,0 +1,134 @@
+# Opening RGB image as array, converting to GreyScale
+
+# Importing needed libraries
+import numpy as np
+from PIL import Image
+import matplotlib.pyplot as plt
+from skimage import color
+from skimage import io
+import scipy.misc
+
+
+# Creating an array from image data
+image_RGB = Image.open("images/eagle.jpg")
+image_np = np.array(image_RGB)
+
+# Checking the type of the array
+print(type(image_np))  # <class 'numpy.ndarray'>
+# Checking the shape of the array
+print(image_np.shape)
+
+# Showing image with every channel separately
+channel_R = image_np[:, :, 0]
+channel_G = image_np[:, :, 1]
+channel_B = image_np[:, :, 2]
+
+# Creating a figure with subplots
+f, ax = plt.subplots(nrows=2, ncols=2)
+# ax is (2, 2) np array and to make it easier to read we use 'flatten' function
+# Or we can call each time ax[0, 0]
+ax0, ax1, ax2, ax3 = ax.flatten()
+
+# Adjusting first subplot
+ax0.imshow(channel_R, cmap='Reds')
+ax0.set_xlabel('')
+ax0.set_ylabel('')
+ax0.set_title('Red channel')
+
+# Adjusting second subplot
+ax1.imshow(channel_G, cmap='Greens')
+ax1.set_xlabel('')
+ax1.set_ylabel('')
+ax1.set_title('Green channel')
+
+# Adjusting third subplot
+ax2.imshow(channel_B, cmap='Blues')
+ax2.set_xlabel('')
+ax2.set_ylabel('')
+ax2.set_title('Blue channel')
+
+# Adjusting fourth subplot
+ax3.imshow(image_np)
+ax3.set_xlabel('')
+ax3.set_ylabel('')
+ax3.set_title('Original image')
+
+# Function to make distance between figures
+plt.tight_layout()
+# Giving the name to the window with figure
+f.canvas.set_window_title('Eagle image in three channels R, G and B')
+# Showing the plots
+plt.show()
+
+
+# Converting RGB image into GrayScale image
+# Using formula:
+# Y' = 0.299 R + 0.587 G + 0.114 B
+image_RGB = Image.open("images/eagle.jpg")
+image_np = np.array(image_RGB)
+image_GreyScale = image_np[:, :, 0] * 0.299 + image_np[:, :, 1] * 0.587 + image_np[:, :, 2] * 0.114
+# Checking the type of the array
+print(type(image_GreyScale))  # <class 'numpy.ndarray'>
+# Checking the shape of the array
+print(image_GreyScale.shape)
+# Giving the name to the window with figure
+plt.figure('GreyScaled image from RGB')
+# Showing the image by using obtained array
+plt.imshow(image_GreyScale, cmap='Greys')
+plt.show()
+# Preparing array for saving - creating three channels with the same data in each
+# Firstly, creating array with zero elements
+# And by 'image_GreyScale.shape + tuple([3])' we add one more element '3' to the tuple
+# Now the shape will be (1080, 1920, 3) - which is tuple type
+image_GreyScale_with_3_channels = np.zeros(image_GreyScale.shape + tuple([3]))
+# Secondly, reshaping GreyScale image from 2D to 3D
+x = image_GreyScale.reshape((1080, 1920, 1))
+# Finally, writing all data in three channels
+image_GreyScale_with_3_channels[:, :, 0] = x[:, :, 0]
+image_GreyScale_with_3_channels[:, :, 1] = x[:, :, 0]
+image_GreyScale_with_3_channels[:, :, 2] = x[:, :, 0]
+# Saving image into a file from obtained 3D array
+scipy.misc.imsave("images/result_1.jpg", image_GreyScale_with_3_channels)
+# Checking that image was written with three channels and they are identical
+result_1 = Image.open("images/result_1.jpg")
+result_1_np = np.array(result_1)
+print(result_1_np.shape)
+print(np.array_equal(result_1_np[:, :, 0], result_1_np[:, :, 1]))
+print(np.array_equal(result_1_np[:, :, 1], result_1_np[:, :, 2]))
+# Showing saved resulted image
+# Giving the name to the window with figure
+plt.figure('GreyScaled image from RGB')
+# Here we don't need to specify the map like cmap='Greys'
+plt.imshow(result_1_np)
+plt.show()
+
+
+# Another way to convert RGB image into GreyScale image
+image_RGB = io.imread("images/eagle.jpg")
+image_GreyScale = color.rgb2gray(image_RGB)
+# Checking the type of the array
+print(type(image_GreyScale))  # <class 'numpy.ndarray'>
+# Checking the shape of the array
+print(image_GreyScale.shape)
+# Giving the name to the window with figure
+plt.figure('GreyScaled image from RGB')
+# Showing the image by using obtained array
+plt.imshow(image_GreyScale, cmap='Greys')
+plt.show()
+# Saving converted image into a file from processed array
+scipy.misc.imsave("images/result_2.jpg", image_GreyScale)
+
+
+# One more way for converting
+image_RGB_as_GreyScale = io.imread("images/eagle.jpg", as_gray=True)
+# Checking the type of the array
+print(type(image_RGB_as_GreyScale))  # <class 'numpy.ndarray'>
+# Checking the shape of the array
+print(image_RGB_as_GreyScale.shape)
+# Giving the name to the window with figure
+plt.figure('GreyScaled image from RGB')
+# Showing the image by using obtained array
+plt.imshow(image_RGB_as_GreyScale, cmap='Greys')
+plt.show()
+# Saving converted image into a file from processed array
+scipy.misc.imsave("images/result_3.jpg", image_RGB_as_GreyScale)

Opening_png_jpg.py

@@ -0,0 +1,36 @@
+# Testing to open images and applying simple filtering
+
+import tkinter as tk
+from PIL import Image, ImageTk
+
+# Option 1 - opening .png images
+# Establishing 'root' as the 'Tk' window
+root = tk.Tk()
+# Uploading image from file
+image_1 = tk.PhotoImage(file="images/eagle.png")
+# Creating a 'Label' object that contains uploaded image
+label = tk.Label(root, image=image_1)
+# Packing 'Label' into 'Tk' window
+label.pack()
+# Setting the title
+root.title('Opening .png image')
+# root.geometry("800x600")
+# Starts loop with event
+root.mainloop()
+
+
+# Option 2 - opening .jpg images
+# Establishing 'root' as the 'Tk' window
+root = tk.Tk()
+# Uploading image from file
+image_2 = Image.open("images/eagle.jpg")
+# Creating a 'Label' object that contains uploaded image
+label = tk.Label(root)
+label.image = ImageTk.PhotoImage(image_2)
+label['image'] = label.image
+# Packing 'Label' into 'Tk' window
+label.pack()
+# Setting the title
+root.title('Opening .jpg image')
+# Starts loop with event
+root.mainloop()