Digital Image Processing. Week 3

1.

Week 3
Digital Image Processing
Dr. Sajid Khan

2.

Reading image using webcam
• I will be playing with frames of my own face.
• I am not photogenic, however, I decided to sacrifice on that one.

3.

import cv2
cam_port = 0 #port refers to the webcam. You may try with cam_port=1 if you have any other webcam
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
# showing result, it take frame name and image
# output
cv2.imshow("My image", image)
result, image = cam.read()
cv2.waitKey(1)

4.

5.

Flipping frames
import cv2
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
# showing result, it take frame name and image
# output
img_flip_lr = cv2.flip(image, 1)
cv2.imshow("My image", img_flip_lr)
result, image = cam.read()
cv2.waitKey(1)

6.

7.

Trying to neglect blue reflection
import cv2
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
image_noBlue = image
image_noBlue[:,:,0] = 0
image_concat = cv2.hconcat([image, image_noBlue])
cv2.imshow('Processed frames', image_concat)
result, image = cam.read()
cv2.waitKey(1)

8.

9.

Deep copy comes to the rescue
import cv2
import copy
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
image_noBlue = copy.copy(image)
image_noBlue[:,:,0] = 0
image_concat = cv2.hconcat([image, image_noBlue])
cv2.imshow('Processed frames', image_concat)
result, image = cam.read()
cv2.waitKey(1)

10.

11.

No green reflection
import cv2
import copy
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
image_noGreen = copy.copy(image)
image_noGreen[:,:,1] = 0
image_concat = cv2.hconcat([image, image_noGreen])
cv2.imshow('Processed frames', image_concat)
result, image = cam.read()
cv2.waitKey(1)

12.

13.

Only Blue reflection
import cv2
import copy
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
image_onlyBlue = copy.copy(image)
image_onlyBlue[:,:,1:3] = 0
image_concat = cv2.hconcat([image, image_onlyBlue])
cv2.imshow('Processed frames', image_concat)
result, image = cam.read()
cv2.waitKey(1)

14.

15.

import cv2
import copy
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
image_onlyGreen = copy.copy(image)
image_onlyGreen[:,:,0] = 0
image_onlyGreen[:,:,2] = 0
image_concat = cv2.vconcat([image, image_onlyGreen])
cv2.imshow('Processed frames', image_concat)
result, image = cam.read()
cv2.waitKey(1)

16.

17.

18.

import cv2
import copy
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
image_onlyGreen = copy.copy(image)
image_onlyGreen[:,:,0] = 0
image_onlyGreen[:,:,2] = 0
image_onlyBlue = copy.copy(image)
image_onlyBlue[:,:,1:3] = 0
image_onlyRed = copy.copy(image)
image_onlyRed[:,:,0:2] = 0
image_concat = cv2.vconcat([cv2.hconcat([image, image_onlyGreen]),cv2.hconcat([image_onlyRed, image_onlyBlue])])
cv2.imshow('Processed frames', image_concat)
result, image = cam.read()
cv2.waitKey(1)

19.

Normalizing and multiplying image
import cv2
import copy
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# image_gray = cv2.normalize(image_gray, None, 0, 1, cv2.NORM_MINMAX, dtype=cv2.CV_32F)
image_gray = image_gray.astype(float) / 255
image_enhance = copy.copy(image_gray)
image_enhance = image_enhance*3
image_concat = cv2.hconcat([image_gray, image_enhance])
cv2.imshow('Processed frames', image_concat)
print(image_enhance)
result, image = cam.read()
cv2.waitKey(1)

20.

Taking square of the image
import cv2
import copy
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
image_gray = image_gray.astype(float) / 255
image_enhance = copy.copy(image_gray)
image_enhance = image_enhance**2
image_concat = cv2.hconcat([image_gray, image_enhance])
cv2.imshow('Processed frames', image_concat)
print(image_enhance)
result, image = cam.read()
cv2.waitKey(1)

21.

22.

Taking cube of the image
import cv2
import copy
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
image_gray = image_gray.astype(float) / 255
image_enhance = copy.copy(image_gray)
image_enhance = image_enhance**3
image_concat = cv2.hconcat([image_gray, image_enhance])
cv2.imshow('Processed frames', image_concat)
print(image_enhance)
result, image = cam.read()
cv2.waitKey(1)

23.

24.

Taking square root
import cv2
import copy
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
image_gray = image_gray.astype(float) / 255
image_enhance = copy.copy(image_gray)
image_enhance = image_enhance**(1/2)
image_concat = cv2.hconcat([image_gray, image_enhance])
cv2.imshow('Processed frames', image_concat)
print(image_enhance)
result, image = cam.read()
cv2.waitKey(1)

25.

26.

Cube root

27.

Image Negative
import cv2
import copy
cam_port = 0
cam = cv2.VideoCapture(cam_port)
result, image = cam.read()
while result:
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
image_gray = image_gray.astype(float) / 255
image_enhance = copy.copy(image_gray)
image_enhance = 1 - image_enhance
image_concat = cv2.hconcat([image_gray, image_enhance])
cv2.imshow('Processed frames', image_concat)
print(image_enhance)
result, image = cam.read()
cv2.waitKey(1)

28.

29.

Cartoonify effect