Digital Image Processing Project Apr 2026
def auto_canny(image, sigma=0.33): median = np.median(image) lower = int(max(0, (1.0 - sigma) * median)) upper = int(min(255, (1.0 + sigma) * median)) return cv2.Canny(image, lower, upper)
def clahe_equalization(image, clip_limit=2.0, grid_size=(8,8)): clahe = cv2.createCLAHE(clipLimit=clip_limit, tileGridSize=grid_size) return clahe.apply(image) digital image processing project
Sending your message. Please wait...
There was a problem sending your message. Please try again or call
us.
Please complete all the fields in the form before sending.
You may only send 3 messages per day, but you are welcome to call
us!
The phone number is invalid. Please check your phone number and try
again.
The email address is invalid. Please check your email address and try
again.
Thanks for contacting us! We'll get back to you shortly.