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.
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.
Once installed, you can use this skill by running the following command in your terminal:
skills use opencv-bioimage-analysis