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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.

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jaechang-hits
์—…๋ฐ์ดํŠธ๋จ 2026. 2. 18.
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quick start

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.

์„ค์น˜
$ install --globalskills.sh
์‚ฌ์šฉ๋ฒ•

์„ค์น˜ ํ›„ ํ„ฐ๋ฏธ๋„์—์„œ ๋‹ค์Œ ๋ช…๋ น์„ ์‹คํ–‰ํ•˜์—ฌ ์ด ์Šคํ‚ฌ์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค:

skills use scikit-image-processing