EX.NO : 05

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:

Step1:

Import the necessary libraries and read the original image and save it a image variable.

Step2:

Translate the image using Translation_matrix=np.float32([[1,0,120],[0,1,120],[0,0,1]]) Translated_image=cv2.warpPerspective(org_img,Translation_matrix,(col,row))

Step3:

Scale the image using Scaling_Matrix=np.float32([[1.2,0,0],[0,1.2,0],[0,0,1]]) Scaled_image=cv2.warpPerspective(org_img,Scaling_Matrix,(col,row))

Step4:

Shear the image using Shearing_matrix=np.float32([[1,0.2,0],[0.2,1,0],[0,0,1]]) Sheared_image=cv2.warpPerspective(org_img,Shearing_matrix,(col2,int(row1.5)))

Step5:

Reflection of image can be achieved through the code Reflection_matrix_row=np.float32([[1,0,0],[0,-1,row],[0,0,1]]) Reflected_image_row=cv2.warpPerspective(org_img,Reflection_matrix_row,(col,int(row)))

Step6:

Rotate the image using Rotation_angle=np.radians(10) Rotation_matrix=np.float32([[np.cos(Rotation_angle),-np.sin(Rotation_angle),0], [np.sin(Rotation_angle),np.cos(Rotation_angle),0], [0,0,1]]) Rotated_image=cv2.warpPerspective(org_img,Rotation_matrix,(col,(row)))

Step7:

Crop the image using cropped_image=org_img[10:350,320:560]

Step8:

Display all the Transformed images.

Program:

Developed By:DurgaDevi P
Register Number:212220230015
i)Image Translation
Translation_matrix=np.float32([[1,0,120],[0,1,120],[0,0,1]])
Translated_image=cv2.warpPerspective(original_img,Translation_matrix,(col,row))
plt.axis("off")
plt.imshow(Translated_image)

ii) Image Scaling
Scaling_Matrix=np.float32([[1.2,0,0],[0,1.2,0],[0,0,1]])
Scaled_image=cv2.warpPerspective(original_img,Scaling_Matrix,(col,row))
plt.axis("off")
plt.imshow(Scaled_image)

iii)Image shearing
Shearing_matrix=np.float32([[1,0.2,0],[0.2,1,0],[0,0,1]])
Sheared_image=cv2.warpPerspective(original_img,Shearing_matrix,(col*2,int(row*1.5)))
plt.axis("off")
plt.imshow(Sheared_image)

iv)Image Reflection
Reflection_matrix_col=np.float32([[-1,0,col],[0,1,0],[0,0,1]])
Reflected_image_col=cv2.warpPerspective(original_img,Reflection_matrix_col,(col,int(row)))
plt.axis("off")
plt.imshow(Reflected_image_col)

Reflection_matrix_row=np.float32([[1,0,0],[0,-1,row],[0,0,1]])
Reflected_image_row=cv2.warpPerspective(original_img,Reflection_matrix_row,(col,int(row)))
plt.axis("off")
plt.imshow(Reflected_image_row)

v)Image Rotation
Rotation_angle=np.radians(10)
Rotation_matrix=np.float32([[np.cos(Rotation_angle),-np.sin(Rotation_angle),0],
                                [np.sin(Rotation_angle),np.cos(Rotation_angle),0],
                                [0,0,1]])
Rotated_image=cv2.warpPerspective(original_img,Rotation_matrix,(col,(row)))
plt.axis("off")
plt.imshow(Rotated_image)

vi)Image Cropping
cropped_image=original_img[10:350,320:560]
plt.axis("off")
plt.imshow(cropped_image)

Output:

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.

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