Image-Transformation

Aim:

To perform image transformation such as Translation, Scaling, Shearing, Reflection, Rotation and Cropping using OpenCV and Python.

Software Required:

Anaconda - Python 3.7

Algorithm:

Step 1:

Import the required libraries and read the original image.

Step 2:

Translate the image.

Step 3:

Scale the image.

Step 4:

Shear the image.

Step 5:

Find reflection of image.

Step 6:

Rotate the image.

Step 7:

Crop the image.

Step 8:

Display all the Transformed images.

Program:

Developed By: Syed Abdul Wasih H
Register Number:21221240057

import numpy as np
import cv2
import matplotlib.pyplot as plt
img=cv2.imread("1.jpeg")
img=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
plt.axis('off')
plt.imshow(img)
plt.show()
rows,cols,dim=img.shape

i) Image Translation:

M=np.float32([[1,0,20],
             [0,1,50],
             [0,0,1]])
translated_img=cv2.warpPerspective(img,M,(cols,rows))
plt.axis('off')
plt.imshow(translated_img)
plt.show()

ii) Image Scaling:

M=np.float32([[1.5,0,0],
             [0,2,0],
             [0,0,1]])
scaled_img=cv2.warpPerspective(img,M,(cols,rows))
plt.axis('off')
plt.imshow(scaled_img)
plt.show()

iii) Image shearing:

M_x=np.float32([[1,0.2,0],
               [0,1,0],
               [0,0,1]])
M_y=np.float32([[1,0,0],
               [0.4,1,0],
               [0,0,1]])
sheared_img_xaxis=cv2.warpPerspective(img,M_x,(cols,rows))
sheared_img_yaxis=cv2.warpPerspective(img,M_y,(cols,rows))
plt.axis('off')
plt.imshow(sheared_img_xaxis)
plt.show()
plt.axis('off')
plt.imshow(sheared_img_yaxis)
plt.show()

iv) Image Reflection:

M_x=np.float32([[1,0,0],
               [0,-1,rows],
               [0,0,1]])
M_y=np.float32([[-1,0,cols],
               [0,1,0],
               [0,0,1]])
reflected_img_xaxis=cv2.warpPerspective(img,M_x,(cols,rows))
reflected_img_yaxis=cv2.warpPerspective(img,M_y,(cols,rows))
plt.axis('off')
plt.imshow(reflected_img_xaxis)
plt.show()
plt.axis('off')
plt.imshow(reflected_img_yaxis)
plt.show()

v) Image Rotation:

angle=np.radians(45)
M=np.float32([[np.cos(angle),-(np.sin(angle)),0],
               [np.sin(angle),np.cos(angle),0],
               [0,0,1]])
rotated_img=cv2.warpPerspective(img,M,(cols,rows))
plt.axis('off')
plt.imshow(rotated_img)
plt.show()

vi) Image Cropping:

cropped_img=img[20:150,60:230]
plt.axis('off')
plt.imshow(cropped_img)
plt.show()

Output:

Original Image:

i) Image Translation:

ii) Image Scaling:

iii) Image shearing:

iv) Image Reflection:

v) Image Rotation:

vi) Image Cropping:

Result:

Thus the different image transformations such as Translation, Scaling, Shearing, Reflection, Rotation and Cropping are done using OpenCV and python programming.

abdulwasih2003 / image-transformation Goto Github PK