Basic Thresholding – OpenCV 3.4 with python 3 Tutorial 10

Threshold:

[python]
import cv2
import numpy as np

img = cv2.imread("black_to_white.jpeg", cv2.IMREAD_GRAYSCALE)

_, threshold_binary = cv2.threshold(img, 128, 255, cv2.THRESH_BINARY)
_, threshold_binary_inv = cv2.threshold(img, 128, 255, cv2.THRESH_BINARY_INV)
_, threshold_trunc = cv2.threshold(img, 128, 255, cv2.THRESH_TRUNC)
_, threshold_to_zero = cv2.threshold(img, 12, 255, cv2.THRESH_TOZERO)

cv2.imshow("Image", img)
cv2.imshow("th binary", threshold_binary)
cv2.imshow("th binary inv", threshold_binary_inv)
cv2.imshow("th trunc", threshold_trunc)
cv2.imshow("th to zero", threshold_to_zero)

cv2.waitKey(0)
cv2.destroyAllWindows()
[/python]

Threshold with Trackbar:

[python]
import cv2
import numpy as np

def nothing(x):
pass

img = cv2.imread("red_panda.jpg", cv2.IMREAD_GRAYSCALE)
cv2.namedWindow("Image")
cv2.createTrackbar("Threshold value", "Image", 128, 255, nothing)

while True:
value_threshold = cv2.getTrackbarPos("Threshold value", "Image")
_, threshold_binary = cv2.threshold(img, value_threshold, 255, cv2.THRESH_BINARY)
_, threshold_binary_inv = cv2.threshold(img, value_threshold, 255, cv2.THRESH_BINARY_INV)
_, threshold_trunc = cv2.threshold(img, value_threshold, 255, cv2.THRESH_TRUNC)
_, threshold_to_zero = cv2.threshold(img, value_threshold, 255, cv2.THRESH_TOZERO)
_, threshold_to_zero_inv = cv2.threshold(img, value_threshold, 255, cv2.THRESH_TOZERO_INV)

cv2.imshow("Image", img)
cv2.imshow("th binary", threshold_binary)
cv2.imshow("th binary inv", threshold_binary_inv)
cv2.imshow("th trunc", threshold_trunc)
cv2.imshow("th to zero", threshold_to_zero)
cv2.imshow("th to zero inv", threshold_to_zero_inv)

key = cv2.waitKey(100)
if key == 27:
break

cv2.destroyAllWindows()
[/python]

 

Files:

  1. black_to_white.jpeg
  2. red_panda.jpg