Metadata-Version: 2.1
Name: scikit-shape
Version: 0.4.0
Summary: Package for shape detection, image segmentation, and shape analysis
Author-email: Gunay Dogan <gunay.dogan@nist.gov>
Project-URL: Homepage, https://github.com/scikit-shape/scikit-shape
Project-URL: Issues, https://github.com/scikit-shape/scikit-shape/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: numba
Requires-Dist: meshpy
Requires-Dist: networkx
Requires-Dist: matplotlib
Requires-Dist: scikit-image
Requires-Dist: scikit-learn

# scikit-shape

Scikit-shape is a Python toolbox for shape detection, image segmentation, and shape analysis. We provide this package as a free, open-source Python module to the research community. Its functionality is well suited to applications in scientific image analysis, medical image processing, and computer vision. Scikit-shape is built on the NumPy and SciPy packages to enable Matlab-like interactivity with advanced scripting capabilities and to interface easily with other image processing and machine learning packages, such as SciPy, scikit-image, scikit-learn. The following are some of the functionality provided with scikit-shape:
* Adaptive deformable curves
* Image-based meshing
* Image regularization and denoising
* Various image segmentation
* Elastic shape distances
