Abstract
scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal Modified BSD open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image. More information can be found on the project homepage, http://scikit-image.org.
Highlights
In our data-rich world, images represent a significant subset of all measurements made
This paper describes scikit-image, a collection of image processing algorithms implemented in the Python programming language by an active community of volunteers and available under the liberal BSD Open Source license
The online gallery of examples provides an overview of the functionality available in the package and introduces many of the algorithms commonly used in image processing
Summary
In our data-rich world, images represent a significant subset of all measurements made. Well-documented and easy-to-use implementations of common image processing algorithms. Such algorithms are essential building blocks in many areas of scientific research, algorithmic comparisons and data exploration. The properties of each public function are documented thoroughly in an API reference guide, http://scikit-image.org/docs/dev (accessed 30 March 2014). The online gallery of examples provides an overview of the functionality available in the package and introduces many of the algorithms commonly used in image processing This visual index helps beginners overcome a common entry barrier: locating the class (denoising, segmentation, etc.) and name of operation. Http://www.mathworks.com.au/ products/distriben/description3. html (accessed 9 May 2014)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
