scalismo alternatives and similar packages
Based on the "Image processing and image analysis" category
Do you think we are missing an alternative of scalismo or a related project?
Scalismo is a library for statistical shape modeling and model-based image analysis in Scala, developed by the Graphics and Vision Research Group at the University of Basel. It is based on the the concept of Probabilistic Morphable Models.
The vision of the project is to provide an environment for modelling and image analysis which
- makes it easy and fun to try out ideas and build research prototypes
- is powerful enough to build full-scale industrial applications
- makes it feasible to deploy it in complex, distributed imaging pipelines.
We aim to achieve these properties by leveraging two core technologies:
- A simple but versatile mathematical approach to shape modeling and registration, based on the theory of Gaussian processes.
- The Scala and Java ecosystem for reducing the software complexity.
More about the concepts and mathematical methods behind Scalismo
There is also a scalismo google group for general questions and discussions.
How can I help?
While scalismo is already fully usable for shape modeling and simple image processing task, its functionality is currently targeted to support the needs that arise in the research at the Gravis and Vision research group. If you find that a feature is missing, please let us know about it by opening an issue and describing the missing feature.
We welcome contributions to scalismo. Please check the [Contributor's guide](contributing.md) for instructions how to contribute to Scalismo.
We are also always grateful if you report bugs or if give us feedback on how you use scalismo in your work and how you think we can improve it.
The project is developed and maintained by the Graphics and Vision Research group, University of Basel in collaboration with Shapemeans GmbH. The current maintainers of the project (people who can merge pull requests) are:
Scalismo is closely related to the statismo project, and some of the scalismo developers are also actively working on statismo. In fact, scalismo had been started as an attempt to provide the core functionality of Statismo and the ITK registration toolkit, but without the complexity that is induced by these toolkits.
Copyright and License
All code is available to you under the Apache license, version 2, available at http://www.apache.org/licenses/LICENSE-2.0.
Copyright, University of Basel, 2015.
*Note that all licence references and agreements mentioned in the scalismo README section above are relevant to that project's source code only.