• Source: Scikit-image

scikit-image (formerly scikits.image) is an open-source image processing library for the Python programming language.
It includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.




Overview


The scikit-image project started as scikits.image, by Stéfan van der Walt. Its name stems from the notion that it is a "SciKit" (SciPy Toolkit), a separately-developed and distributed third-party extension to SciPy.
The original codebase was later extensively rewritten by other developers. Of the various scikits, scikit-image as well as scikit-learn were described as "well-maintained and popular" in November 2012. Scikit-image has also been active in the Google Summer of Code.




Implementation


scikit-image is largely written in Python, with some core algorithms written in Cython to achieve performance.




References






External links


Official website
https://github.com/scikit-image/scikit-image

Kata Kunci Pencarian:

• Metode Otsu
• Scikit-image
• Scikit-learn
• Otsu's method
• Dask (software)
• Local binary patterns
• Hough transform
• Random walker algorithm
• Berkeley Institute for Data Science
• Anne E. Carpenter
• Data binning