baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Features/Features (machine learning)/Image processing
Raw Features: Pixel intensity values, RGB color values.
Engineered Features: Haar features, Gabor wavelets, Histogram of gradients (HOG), edge counts, convolutional feature maps.
Context: In object detection, pixel patterns or edge-based features help detect objects in the image.
