scikit-image-processing
Python image processing library for scientific microscopy and bioimage analysis. Read/write multi-format images, apply filters (Gaussian, median, LoG), segment objects (thresholding, watershed, active contours), measure region properties (area, intensity, shape), and detect features. Part of the SciPy ecosystem; integrates with NumPy arrays. Use OpenCV instead for real-time video processing; use CellPose for deep-learning cell segmentation; use napari for interactive visualization.
Installation and usage
Python image processing library for scientific microscopy and bioimage analysis. Read/write multi-format images, apply filters (Gaussian, median, LoG), segment objects (thresholding, watershed, active contours), measure region properties (area, intensity, shape), and detect features. Part of the SciPy ecosystem; integrates with NumPy arrays. Use OpenCV instead for real-time video processing; use CellPose for deep-learning cell segmentation; use napari for interactive visualization.
安裝後，您可以透過在終端機執行以下指令來使用此技能：
skills use scikit-image-processing