I am trying to detect the fringes/edges of the following image but it doesn't work Here is the python code: import cv2 import numpy as np import matplotlib.pyplot as plt # Load the image image_path = 'your path to image' image = cv2.imread(image_path) # Convert to grayscale gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # Apply Gaussian blur to reduce noise blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0) # Apply Canny edge detection edges = cv2.Canny(blurred_image, threshold1=50, threshold2=150) edges_colored = np.zeros_like(image) edges_colored[:, :, 1] = edges # Set the red channel overlay = cv2.addWeighted(image, 0.8, edges_colored, 1, 0) # Display the overlaid image plt.figure(figsize=(8, 6)) plt.imshow(cv2.cvtColor(overlay, cv2.COLOR_BGR2RGB)) plt.title('Original Image with Detected Edges in Red') plt.axis('off') plt.show() And this is the image I want to detect edges for should follow the lines for the fringes. I have tried almost everything black and white increasing the contrast but it doesn't work. I have modified other image manually and for that it work and I don't know what can be the reason here is the working example: What am I doing wrong that it doesn't work for the new image but for some reason works for the other. I have tried normalizing and played with threshold and brightness and contrast but didn't help. Thanks for the help!! Continue reading...
