[OpenCV] bitwise op.

Bitwise Operations: 

AND, OR, NOT, XOR 연산자를 OpenCV가 제공.

• 주로 특정 영역(사각형 모양이 아닌)을 추출하는데 사용됨.
• True의 representative value는 1이지만, uint8의 경우 255를 사용함.
• False의 representative value는 0이지만, uint8의 경우도 마찬가지임.

https://gist.github.com/dsaint31x/a9ca880a91bceee901d0cce4903c6f4c

cv_binary_op.ipynb

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종류:

• cv2.bitwise_and()
• cv2.bitwise_or()
• cv2.bitwise_not()
• cv2.bitwise_xor()

This includes bitwise AND, OR, NOT and XORoperations.

• They will be highly useful while extracting any part of the image
• defining and working with non-rectangular ROI etc.

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Example :

import cv2
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

def show_heatmap(ax,title,img):
  ax.set_title(title)
  sns.heatmap(img,annot=True,fmt='.2f',cmap=plt.cm.gray, ax =ax, 
              cbar=False, linewidth=0, linecolor='blue')
  for spine in ax.spines.values():
    spine.set_visible(True)
    spine.set_edgecolor('blue')
    spine.set_linewidth(2)

img_0 = np.zeros(shape=(2,2), dtype=np.uint8)
img_0[:,:1]= 255 
img_1 = np.zeros_like(img_0)
img_1[:1,:]= 255

d_and = cv2.bitwise_and(img_0,img_1)
d_or  = cv2.bitwise_or (img_0,img_1)
d_not = cv2.bitwise_not(img_0)
d_xor = cv2.bitwise_xor(img_0,img_1)

fig, axs = plt.subplots(1,6, figsize=(12,2))
show_heatmap(axs[0], 'img_0', img_0)
show_heatmap(axs[1], 'img_1', img_1)
show_heatmap(axs[2], 'd_and', d_and)
show_heatmap(axs[3], 'd_or' , d_or)
show_heatmap(axs[4], 'd_not(img_0)', d_not)
show_heatmap(axs[5], 'd_xor', d_xor)
plt.tight_layout()
plt.show()

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같이 보면 좋은 자료들

https://dsaint31.tistory.com/813

[DIP] Image 다루기: cv2-기본편 3 (Summary)

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