A fractional-order image segmentation model with application to low-contrast and piecewise smooth images

Junfeng Cao, Ke Chen, Huan Han

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose a two-stage image segmentation model based on structure tensor and fractional-order regularization. In the first stage, we use the fractional-order regularization to approximate the Hausdorff measure of the Mumford-Shah (MS) model. The existence and uniqueness of the solution is proved and the alternating direction implicit (ADI) scheme is used to find the solution of the modified MS model. In the second stage, a thresholding is used to induce the segmentation of the target. The superior performances of the proposed model are demonstrated by some comparative experimental results with several state-of-art methods.

Original languageEnglish
Pages (from-to)159-171
Number of pages13
JournalComputers and Mathematics with Applications
Volume153
Early online date23 Nov 2023
DOIs
Publication statusPublished - 1 Jan 2024

Keywords

  • ADI
  • fractional-order
  • image segmentation
  • structure tensor

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