A fractional-order image segmentation model with application to low-contrast and piecewise smooth images-Reference-Cited by-同舟云学术

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

Published:2024-01 Issue: Volume:153 Page:159-171
ISSN:0898-1221
Container-title:Computers & Mathematics with Applications
language:en
Short-container-title:Computers & Mathematics with Applications

Author:

Cao Junfeng,Chen Ke,Han Huan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Modeling and Simulation

Reference47 articles.

1. SegCloud: a novel cloud image segmentation model using a deep convolutional neural network for ground-based all-sky-view camera observation;Xie;Atmos. Meas. Tech.,2020

2. Image segmentation using association rule features;Rushing;IEEE Trans. Image Process.,2002

3. Transformation-consistent self-ensembling model for semisupervised medical image segmentation;Li;IEEE Trans. Neural Netw. Learn. Syst.,2020

4. Optimization for medical image segmentation: theory and practice when evaluating with dice score or Jaccard index;Eelbode;IEEE Trans. Med. Imaging,2020

5. Object counting and instance segmentation with image-level supervision;Cholakkal,2019

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1. Conformable fractional order variation-based image deblurring;Partial Differential Equations in Applied Mathematics;2024-09

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