Gabor

Gabor functions, or Gabor filters, are mathematical tools used in image processing to analyze textures, edges, and patterns. They work by capturing specific frequency and orientation information in an image, much like tuning a radio to a particular station. Think of them as specialized lenses that highlight certain details or features, helping computers detect shapes, textures, or lines. Gabor filters are inspired by how our visual system detects visual features, making them valuable in applications like facial recognition, computer vision, and pattern analysis. They balance spatial detail with frequency information, enabling precise feature extraction.