scikit-shape Purpose
Simple Example
Shape analysis in Python
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 medical image processing, medical image analysis, imaging for astronomy or Earth science, and machine 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. If this sounds useful, click below to try it out.
Analyzing an image with scikit-shape is easy! For more you can do with scikit-shape,
visit our Examples page.
from skshape.image.segmentation.segment
import segment_phase_field
I = plt.imread('two_galaxies.png')
# ... or any other valid image
InitSeg = (I > 0.2)
FinSeg = segment_phase_field(I, InitSeg)
plt.figure()
plt.imshow(FinSeg)
plt.show()
You can read more in our user guide.