Answer :
Applications for image processing and computer vision frequently employ textural patterns. The spatial distribution of brightness or colour in a picture is referred to as textural patterns. Gabor filters and Local Binary Pattern (LBP) filters are frequently employed to identify textural patterns.
Convolutional filters called gabors are employed to identify edges and other local characteristics in a picture. They are built on a sinusoidal waveform with a Gaussian envelope as its modulator.
An picture is subjected to the Gabor filter in order to identify the frequency and direction of the edges. Textural patterns in a picture can be found using Local Binary Pattern (LBP) filters. This filter operates by comparing each pixel's brightness to that of its surrounding pixels.
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