scikit-image treats images as NumPy arrays. It provides a comprehensive suite of algorithms for filtering, feature detection, and object measurement, making it the standard for research-grade image analysis.
Official docs: https://scikit-image.org/ User Guide: https://scikit-image.org/docs/stable/userguide.html Search patterns: skimage.filters, skimage.segmentation, skimage.feature, skimage.morphology
Images are NumPy Arrays A grayscale image is a 2D array (M, N). A color image is a 3D array (M, N, 3). A multichannel 3D volume is (P, M, N, C).
Une collection d'algorithmes pour le traitement d'images en Python. Construit sur NumPy, SciPy et Cython. Il se concentre sur l’analyse scientifique des images, y compris la segmentation, les transformations géométriques, la manipulation, l’analyse et le filtrage de l’espace colorimétrique. Source : tondevrel/scientific-agent-skills.