ImagePy
An open-source, plugin-based image processing framework in Python that integrates with numpy-based libraries like scikit-image and OpenCV.
What is ImagePy?
ImagePy is an open-source image processing framework built in Python that provides a graphical interface for scientific image analysis. It acts as a bridge between researchers and powerful numpy-based libraries like scikit-image, OpenCV, and SimpleITK, enabling complex image workflows without requiring deep programming knowledge. The framework supports plugins, multi-format image I/O, and interactive tools for filtering, segmentation, and measurement.
Researchers and scientists in fields like biology and materials science who need to perform image analysis but may lack programming skills, as well as developers looking to create or extend image processing tools with a plugin-based architecture.
ImagePy stands out by offering a flexible, plugin-driven framework that seamlessly integrates with the Python scientific ecosystem, allowing users to leverage libraries like scikit-image and OpenCV through a user-friendly interface. Its extensibility and focus on accessibility make it a practical alternative to tools like ImageJ for Python-centric workflows.
Overview
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
Use Cases
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