scikit-image - Scientific Image Processing 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. When to Use - Preprocessing scientific images (noise reduction, contrast enhancement). - Image segmentation (separating cells, particles, or regions of interest). - Feature extraction (detecting edges, corners, blobs, or textures). - Geometric transformations (rescaling, rotating, warping). - Morphological operations (thinning, skeletonization, h…