Open Source
Scikit-Image is open-source and free to use, making it accessible for individuals and organizations without licensing costs.
Integration with NumPy
Scikit-Image is built on top of NumPy, allowing it to seamlessly integrate with a wide range of scientific Python libraries for efficient data processing.
Comprehensive Documentation
The library offers extensive and well-documented resources, tutorials, and examples that help users to understand and implement various image processing tasks.
Wide Range of Algorithms
It provides a large set of optimized algorithms for common image processing tasks like filtering, segmentation, and edge detection.
Active Community
Scikit-Image has a supportive and active community, contributing to its constant growth and the addition of new features and improvements.
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / about 1 year ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / over 1 year ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 2 years ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: over 2 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 3 years ago
Scikit-image The Scikit-image library is a collection of image processing algorithms that are designed to be easy to use and understand. It includes algorithms for common tasks like edge detection, feature extraction, and image restoration. If you are just starting out in image processing, then this is a good library to check out! - Source: dev.to / over 3 years ago
Python is a general-purpose programming language that provides many image processing libraries for adding image processing capabilities to digital images. Some of the most common image processing libraries in Python are OpenCV, Python Imaging Library (PIL), Scikit-image etc. - Source: dev.to / over 3 years ago
Do you know an article comparing Scikit Image to other products?
Suggest a link to a post with product alternatives.
This is an informative page about Scikit Image. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.