Overview
Mahotas is a computer vision and image processing library for Python. It provides a collection of algorithms implemented in C++ for optimized performance while operating seamlessly with numpy arrays. The library features a Python interface, providing access to over 100 functions for tasks like watershed segmentation, feature extraction (Zernike, Haralick, LBP, TAS), morphological processing, SURF feature detection, thresholding, convolution, and edge detection (Sobel). It aims to provide a stable interface, ensuring that code written for older versions remains functional and benefits from performance improvements. Mahotas targets researchers and developers working on image analysis, computer vision projects, and scientific applications requiring efficient image processing capabilities within the Python ecosystem.