Using a Deformable Boundaries approach, boundaries of objects or regions in images can be detected and returned as a collection of curves. These algorithms start from initial guesses of curves, and deform them iteratively towards the correct boundaries, guided by energy minimization principles.
Image-based Meshing generates triangulations conforming to the regions in a given segmented image. The triangulations can be used to simulate physics based on the image.
Some procedures require a cleaned or enhanced image. Image Regularization is used to reduce the noise or the variation in the image while maintaining or enhancing important features and structures.
Image Segmentation is the task of identifying objects or regions in a given image. One way to achieve this is a to create label arrays, in which the label of a pixel denotes which region the pixel belongs to. Scikit-shape includes different algorithms to compute label arrays from input images.
