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opencv-bioimage-analysis

Computer vision library for bio-image preprocessing, feature detection, and real-time microscopy analysis. Performs color space conversion, morphological operations, contour/blob detection, template matching, and optical flow on fluorescence and brightfield images. 10-100× faster than pure Python implementations using optimized C++ kernels. Use scikit-image for scientific morphometry and regionprops; use OpenCV for real-time processing, video, and classical feature extraction pipelines.

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更新于 2/18/2026
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quick start

Installation and usage

Computer vision library for bio-image preprocessing, feature detection, and real-time microscopy analysis. Performs color space conversion, morphological operations, contour/blob detection, template matching, and optical flow on fluorescence and brightfield images. 10-100× faster than pure Python implementations using optimized C++ kernels. Use scikit-image for scientific morphometry and regionprops; use OpenCV for real-time processing, video, and classical feature extraction pipelines.

安装
$ install --globalskills.sh
使用

安装后,您可以通过在终端运行以下命令来使用此技能:

skills use opencv-bioimage-analysis