Fast image segmentation and restoration using parametric curve evolution with junctions and topology changes

TL;DR

This paper introduces a fast, efficient image segmentation and restoration method using parametric curve evolution that handles junctions, topology changes, and denoising, demonstrated through simulations on artificial and real images.

Contribution

It presents a novel curve evolution scheme for image segmentation that manages junctions, topology changes, and includes a denoising step, improving speed and accuracy.

Findings

Effective segmentation of complex images demonstrated

Handles topology changes and junctions robustly

Achieves fast processing times

Abstract

Curve evolution schemes for image segmentation based on a region based contour model allowing for junctions, vector-valued images and topology changes are introduced. Together with an a posteriori denoising in the segmented homogeneous regions this leads to a fast and efficient method for image segmentation and restoration. An uneven spread of mesh points is avoided by using the tangential degrees of freedom. Several numerical simulations on artificial test problems and on real images illustrate the performance of the method.