A Python library for bioimage analysis, containing functions for image processing and computer vision, with a focus on speed and usability.
Mahotas
- Pitone
- Bioingegneria, Bioinformatica, Visione artificiale, Analisi dei dati
- Bioingegneria, Biologia, Sensori biomedici, Prezzi basati sulle caratteristiche, Apprendimento automatico, Rete neurale
Caratteristiche:
- 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.
Prezzi:
- Gratuito
- 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.
Ideale per:
- Biologists, bioinformaticians, and image analysts working with microscopic and other biological images for quantitative analysis and feature extraction.