Feature selection of Gabor filter

1. What is Gabor feature extraction?
2. What are the parameters of Gabor filter?
3. Why Gabor filter is used?
4. What is meant by Gabor filter?

What is Gabor feature extraction?

Features are extracted directly from gray-scale character images by Gabor filters which are specially designed from statistical information of character structures. An adaptive sigmoid function is applied to the outputs of Gabor filters to achieve better performance on low-quality images.

What are the parameters of Gabor filter?

The parameters that define a Gabor filter are its frequency, standard deviation and orientation.

Why Gabor filter is used?

Gabor filters are used as detectors of small, localized cloud stretches or blobs in the satellite image. As these detectors are localized, a large number of Gabor filters are used to cover the whole image (the exact number depends on the size of the image and the size of each filter's receptive field).

What is meant by Gabor filter?

In image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for texture analysis, which essentially means that it analyzes whether there is any specific frequency content in the image in specific directions in a localized region around the point or region of analysis.