Created
April 6, 2016 11:27
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matplotlib example to display binary images as a plot
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import cv2 | |
from matplotlib import pyplot as plt | |
cnt=1 | |
if __name__ == '__main__': | |
video_capture = cv2.VideoCapture(0) | |
while cnt<5: | |
# Capture frame-by-frame | |
ret, frame = video_capture.read() | |
#convert to grayscale image | |
img = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY) | |
#binarization | |
ret,thresh1 = cv2.threshold(img,127,255,cv2.THRESH_BINARY) | |
ret,thresh2 = cv2.threshold(img,127,255,cv2.THRESH_BINARY_INV) | |
ret,thresh3 = cv2.threshold(img,127,255,cv2.THRESH_TRUNC) | |
ret,thresh4 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO) | |
ret,thresh5 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO_INV) | |
titles = ['Original Image','BINARY','BINARY_INV','TRUNC','TOZERO','TOZERO_INV'] | |
images = [img, thresh1, thresh2, thresh3, thresh4, thresh5] | |
for i in xrange(6): | |
plt.subplot(2,3,i+1),plt.imshow(images[i],'gray') | |
plt.title(titles[i]) | |
plt.xticks([]),plt.yticks([]) | |
plt.show() | |
cnt=cnt+1 | |
if cv2.waitKey(1) & 0xFF == ord('q'): | |
break | |
# When everything is done, release the capture | |
video_capture.release() | |
cv2.destroyAllWindows() |
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