Howtosignalprocessing
- Is Gabor filter a wavelet?
- What is wavelet transform used for?
- Why Gabor filter is used?
- What are the properties of wavelet transform?
Is Gabor filter a wavelet?
Gabor wavelet filters are popularly used in many applications of image processing such as extraction of edges, texture analysis, object recognition, and many more. Local spatial as well as frequency information can be obtained by the use of Gabor wavelet filters.
What is wavelet transform used for?
The wavelet transform (WT) can be used to analyze signals in time–frequency space and reduce noise, while retaining the important components in the original signals. In the past 20 years, WT has become a very effective tool in signal processing.
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 are the properties of wavelet transform?
Wavelet transform is the decomposition of a signal to the frequency components. When choosing a suitable wavelet, it is essential to understand a few basic properties of the wavelets, such as Vanishing moments, Support width, Regularity, Symmetry and Orthogonality.
