opencv-basic-projects/opencv_binary_thresholding.py at main · selvan-01/opencv-basic-projects · GitHub

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# Import OpenCV library
import cv2


# --------------------------------
# Step 1: Load the image
# --------------------------------
# cv2.imread() reads the image from the specified file path
# Replace "imageName.png" with your actual image file
img = cv2.imread("imageName.png")


# --------------------------------
# Step 2: Convert image to grayscale
# --------------------------------
# Thresholding works best on grayscale images
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)


# --------------------------------
# Step 3: Apply Binary Threshold
# --------------------------------
# cv2.threshold() converts grayscale image into binary image
# 170 = threshold value
# 255 = maximum pixel value
# cv2.THRESH_BINARY = binary thresholding method

threshold_img = cv2.threshold(gray_img, 170, 255, cv2.THRESH_BINARY)[1]


# --------------------------------
# Step 4: Display images
# --------------------------------
# Show original image
cv2.imshow("Original Image", img)

# Show thresholded image
cv2.imshow("Threshold Image", threshold_img)


# --------------------------------
# Step 5: Wait for key press
# --------------------------------
# waitKey(0) waits until any key is pressed
cv2.waitKey(0)


# --------------------------------
# Step 6: Close all windows
# --------------------------------
cv2.destroyAllWindows()