What are the different filtering methods for data analysis?

What are the different filtering methods for data analysis?

There are several filtering methods, including mean filtering, median filtering, and Gaussian filtering. Each has its own use cases.

Can you explain the difference between mean and median filtering?

Mean filtering averages the pixel values in a neighborhood, while median filtering replaces a pixel's value with the median of its neighbors, which is better for removing noise.

When should I use Gaussian filtering?

Gaussian filtering is ideal for smoothing images and reducing noise while preserving edges, making it great for pre-processing.

Are there any drawbacks to using these methods?

Yes, mean filtering can blur edges, while median filtering may not preserve fine details. Gaussian filtering can also introduce artifacts if not used carefully.