ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.09036
  4. Cited By
An Active Contour Model with Local Variance Force Term and Its Efficient
  Minimization Solver for Multi-phase Image Segmentation

An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multi-phase Image Segmentation

17 March 2022
Chao Liu
Zhonghua Qiao
Qian Zhang
ArXiv (abs)PDFHTML

Papers citing "An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multi-phase Image Segmentation"

4 / 4 papers shown
Title
A Characteristic Function-based Algorithm for Geodesic Active Contours
A Characteristic Function-based Algorithm for Geodesic Active Contours
Jun Ma
Dong Wang
Xiaoping Wang
Xiaoping Yang
83
24
0
01 Jul 2020
The iterative convolution-thresholding method (ICTM) for image
  segmentation
The iterative convolution-thresholding method (ICTM) for image segmentation
Dong Wang
Xiaoping Wang
47
67
0
24 Apr 2019
An efficient iterative thresholding method for image segmentation
An efficient iterative thresholding method for image segmentation
Dong Wang
Haohan Li
Xiaoyu Wei
Xiaoping Wang
45
183
0
04 Aug 2016
A Three-stage Approach for Segmenting Degraded Color Images: Smoothing,
  Lifting and Thresholding (SLaT)
A Three-stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)
Xiaohao Cai
Raymond H. F. Chan
M. Nikolova
T. Zeng
41
52
0
30 May 2015
1