import cv2
import matplotlib.pyplot as plt
def main():
threshold = 0
max_value = 255
image = cv2.imread("../data/7.1.08.tiff", 0)
# when applying OTSU threshold, set threshold to 0.
_, output1 = cv2.threshold(image, threshold, max_value, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
_, output2 = cv2.threshold(image, threshold, max_value, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
_, output3 = cv2.threshold(image, threshold, max_value, cv2.THRESH_TOZERO + cv2.THRESH_OTSU)
_, output4 = cv2.threshold(image, threshold, max_value, cv2.THRESH_TOZERO_INV + cv2.THRESH_OTSU)
_, output5 = cv2.threshold(image, threshold, max_value, cv2.THRESH_TRUNC + cv2.THRESH_OTSU)
images = [image, output1, output2, output3, output4, output5]
titles = ["Orignals", "Binary", "Binary Inverse", "TOZERO", "TOZERO INV", "TRUNC"]
for i in range(6):
plt.subplot(3, 2, i + 1)
plt.imshow(images[i], cmap='gray')
plt.title(titles[i])
plt.show()
if __name__ == '__main__':
main()
