ROImaskit

ROImaskit is a Python library designed to streamline the process of creating and manipulating regions of interest (ROIs) within images. It provides a user-friendly interface for defining various ROI shapes, such as rectangles, ellipses, and polygons, and then applying these masks to image data. The library is particularly useful in applications involving image analysis, computer vision, and scientific imaging where specific areas of an image need to be isolated or analyzed.

The core functionality of ROImaskit revolves around its ability to generate binary masks that correspond to the defined ROIs. These masks can then be used to extract pixel values within the ROI, perform calculations, or modify image content. The library supports operations like masking, unmasking, and combining multiple ROIs, offering flexibility for complex analysis workflows. It integrates well with common image processing libraries like NumPy and OpenCV, allowing for seamless incorporation into existing projects.

ROImaskit aims to simplify common tasks related to ROI handling, reducing the amount of boilerplate code required. Its straightforward API makes it accessible to researchers and developers without extensive expertise in image manipulation. The library is open-source and actively maintained, with a growing community contributing to its development and support.