Sponsored Links

Senin, 15 Januari 2018

Sponsored Links

scikit-image: image processing in Python [PeerJ]
src: dfzljdn9uc3pi.cloudfront.net

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.


Video Scikit-image



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.


Maps Scikit-image



Implementation

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


scikit image - Image Processing for Python | SciPy 2017 Tutorial ...
src: i.ytimg.com


References


scikit-image: image processing in Python [PeerJ]
src: dfzljdn9uc3pi.cloudfront.net


External links

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

Source of the article : Wikipedia

Comments
0 Comments