SOTAVerified

An efficient iterative thresholding method for image segmentation

2016-08-04Code Available0· sign in to hype

Dong Wang, Haohan Li, Xiaoyu Wei, Xiao-Ping Wang

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

We proposed an efficient iterative thresholding method for multi-phase image segmentation. The algorithm is based on minimizing piecewise constant Mumford-Shah functional in which the contour length (or perimeter) is approximated by a non-local multi-phase energy. The minimization problem is solved by an iterative method. Each iteration consists of computing simple convolutions followed by a thresholding step. The algorithm is easy to implement and has the optimal complexity O(N N) per iteration. We also show that the iterative algorithm has the total energy decaying property. We present some numerical results to show the efficiency of our method.

Tasks

Reproductions