Haralick Features are a set of statistical measures derived from the gray-level co-occurrence matrix (GLCM) of an image, used to quantify texture by capturing spatial relationships between pixel intensities. They are widely utilized in image analysis and computer vision for tasks like texture classification, segmentation, and pattern recognition.