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Gabor filters are essential in image processing due to their ability to effectively extract features such as edges and textures from images. They combine both spatial and frequency domain information, allowing them to capture specific orientations and scales of patterns. This makes them particularly useful in applications like facial recognition, texture analysis, and image segmentation. Their selective sensitivity to certain frequencies helps enhance image features while suppressing noise, improving overall analysis accuracy.

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