- Applying a smoothing filter to your data to reduce noise. Gaussian or median filters are commonly used for this purpose.
- Using edge detection algorithms to identify and correct the peaks. Functions like edge and imfill can be helpful.
- Adjusting the threshold parameters in your reconstruction algorithm to minimize the impact of noise.
- Ensuring that your moiré pattern setup is correctly calibrated and that there are no errors in data acquisition.
- Using post-processing techniques to refine the reconstructed surface. Functions like smooth3 can help.