What is scikit-image?
scikit-image is a collection of algorithms for image processing.
scikit-image is a tool in the Image Processing and Management category of a tech stack.
scikit-image is an open source tool with 5.8K GitHub stars and 2.2K GitHub forks. Here’s a link to scikit-image's open source repository on GitHub
Who uses scikit-image?
Companies
10 companies reportedly use scikit-image in their tech stacks, including Kinderboerderij het Gouden Gansje, MateLabs, and Tech Stack.
Developers
100 developers on StackShare have stated that they use scikit-image.
scikit-image Integrations
Pros of scikit-image
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scikit-image's Features
- Provides I/O, filtering, morphology, transformations, measurement, annotation, color conversions, test data sets, etc.
- Written in Python with a well-commented source code
- Has had 5,709 commits made by 116 contributors representing 29,953 lines of code
- Released under BSD-3-Clause license
scikit-image Alternatives & Comparisons
What are some alternatives to scikit-image?
OpenCV
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
MATLAB
Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
SciPy
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
Cloudinary
Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
Pillow
It adds image processing capabilities to your Python interpreter. It provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
