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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Lab 3 - Morphological image processing <a class="tocSkip">
Import dependencies
Step1:  Erosion / dilation steps
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Python Code:
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import matplotlib.image as mpimg
import cv2
%%bash
ls -l | grep .tiff
img = mpimg.imread('Lab_3_DIP.tiff')
plt.figure(figsize=(15,10))
plt.imshow(img)
Explanation: Lab 3 - Morphological image processing <a class="tocSkip">
Import dependencies
End of explanation
plt.figure(figsize=(20,20))
kernel = np.ones((5,5),np.uint8)
erosion = cv2.erode(img,kernel,iterations = 1)
dilation = cv2.dilate(erosion,kernel,iterations = 1)
plt.subplot(1,3,1),
plt.imshow(img),
plt.title('img')
plt.subplot(1,3,2),
plt.imshow(erosion),
plt.title('erosion(img, 1)')
plt.subplot(1,3,3),
plt.imshow(dilation),
plt.title('dilate(erosion(img, 1), 1)')
plt.figure(figsize=(20,30))
kernel = np.ones((5,5),np.uint8)
erosion = cv2.erode(img,kernel,iterations = 1)
dilation = cv2.dilate(erosion,kernel,iterations = 1)
plt.subplot(4,3,1),
plt.imshow(img),
plt.title('img')
plt.subplot(4,3,2),
plt.imshow(erosion),
plt.title('erosion(img, 1)')
plt.subplot(4,3,3),
plt.imshow(dilation),
plt.title('dilate(erosion(img, 1), 1)')
erosion2 = cv2.erode(img,kernel,iterations = 2)
erosion3 = cv2.erode(img,kernel,iterations = 3)
erosion4 = cv2.erode(img,kernel,iterations = 4)
plt.subplot(4,3,4),
plt.imshow(erosion2),
plt.title('erosion(img, 2)')
plt.subplot(4,3,5),
plt.imshow(erosion3),
plt.title('erosion(img, 3)')
plt.subplot(4,3,6),
plt.imshow(erosion4),
plt.title('erosion(img, 4)')
dilation2 = cv2.dilate(img,kernel,iterations = 2)
dilation3 = cv2.dilate(img,kernel,iterations = 3)
dilation4 = cv2.dilate(img,kernel,iterations = 4)
plt.subplot(4,3,7),
plt.imshow(dilation2),
plt.title('dilate(img, 2)')
plt.subplot(4,3,8),
plt.imshow(dilation3),
plt.title('dilate(img, 3)')
plt.subplot(4,3,9),
plt.imshow(dilation4),
plt.title('dilate(img, 4)')
dil_1_ero_2 = cv2.dilate(
    cv2.erode(img,kernel,iterations = 2)
    ,kernel,iterations = 1
)
dil_2_ero_1 = cv2.dilate(
    cv2.erode(img,kernel,iterations = 1)
    ,kernel,iterations = 2
)
dil_2_ero_2 = cv2.dilate(
    cv2.erode(img,kernel,iterations = 2)
    ,kernel,iterations = 2
)
plt.subplot(4,3,10),
plt.imshow(dil_1_ero_2),
plt.title('dilate(erosion(img, 2), 1)')
plt.subplot(4,3,11),
plt.imshow(dil_2_ero_1),
plt.title('dilate(erosion(img, 1), 2)')
plt.subplot(4,3,12),
plt.imshow(dil_2_ero_2),
plt.title('dilate(erosion(img, 2), 2)')
# plt.tight_layout()
plt.subplots_adjust(wspace=0, hspace=0.1)
plt.show()
plt.figure(figsize=(70,40))
plt.subplot(1,3,1),
plt.imshow(dilation),
plt.title('dilate(erosion(img, 1), 1)')
plt.subplot(1,3,2),
plt.imshow(dil_2_ero_1),
plt.title('dilate(erosion(img, 1), 2)')
plt.subplot(1,3,3),
plt.imshow(dil_2_ero_2),
plt.title('dilate(erosion(img, 2), 2)')
Explanation: Erosion / dilation steps
End of explanation
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