A Python library for bioimage analysis, containing functions for image processing and computer vision, with a focus on speed and usability.
Mahotas
- Python
- Bioengineering, Bioinformatics, Computer Vision, Data Analytics
- Bioengineering, Biology, Biomedical Sensors, Feature-based pricing, Machine Learning, Neural Network
Features:
- Image filtering (Gaussian, median, etc.), morphological operations, watershed segmentation, feature computation (Haralick textures, SURF, Zernike moments), thresholding, image measurements, support for 2D and 3D images, written mostly in C++ for speed.
Pricing:
- Free
- Fast execution speed due to C++ backend, comprehensive set of bioimage analysis tools, clean Python interface, good documentation with examples.
- Smaller community compared to OpenCV or scikit-image, some advanced features might require specific image data types or formats.
Best for:
- Biologists, bioinformaticians, and image analysts working with microscopic and other biological images for quantitative analysis and feature extraction.