periodic noise detection in image's frequency domain
Even though the lines are periodic, but they are closer to a train of impulses than a harmonic, so they will leak to many harmonics.
The best feature to distinguish the lines from the rest is that the lines are either horizontal or vertical, vertical lines are represented at the horizontal borders of the FFT, horizontal lines are represented at the vertical borders of the FFT.
Here is the result if you filter out (set to zero) the first four and the last three lines and column of the FFT.

Answering a comment
Here you can see the frequency domain log(fftshift(abs(fft2(image)))), before and after filtering.

Bonus
Just because maybe you would be interested, you can apply morphological filters and get a result like this :D

Offtopic
Yesterday the the author said this

He accepted the answer, but after unaccepted