[Python] How can I seperate the fringes that have been calculated with findpeaks

I would like to seperate the fringes (the red curved lines) that I have calculated with scipy findpeaks how can I achive it. I would like to seperate them and store in the text file.



import numpy as np
from scipy.signal import find_peaks
import matplotlib.pyplot as plt


X = np.load('X.npy')
Y = np.load('Y.npy')
P_new = np.load('P_new.npy')

# Example data: Replace with your actual data
T = np.real(P_new) # Simulating a 2D matrix

# Plot the original image
plt.figure()
plt.imshow(T, cmap='jet', aspect='auto')
plt.colorbar()
plt.title('Original Image')
plt.show()

# Peak detection parameters
min_peak_dist = 3 # Minimum distance between peaks
min_peak_h = 3e-5 # Minimum peak height

x_coords = []
y_coords = []

# Process all rows from top to bottom
for k in range(T.shape[0]):
tex = T[k, :]
peaks, _ = find_peaks(tex, distance=min_peak_dist, height=min_peak_h)

if peaks.size > 0:
x_coords.extend(X[k, peaks])
y_coords.extend(Y[k, peaks])

# Plot detected peaks
plt.figure()
plt.scatter(x_coords, y_coords, color='r', s=2) # 's' controls marker size
plt.xlabel('X Coordinate')
plt.ylabel('Y Coordinate')
plt.title('Detected Fringes in Real-World Coordinates')
plt.colorbar()
plt.show()


data for plotting is here

Want I want see is just seperate fringes like here:

previously I could do it with cv2 method contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) but this is from finding the edges which is not very rigorous for my case as with finding peaks of the actual data.

Can someone help with this? Thanks

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