Image Segmentation Method with Improved GA Optimization of Two-Dimensional Maximum Entropy
Image segmentation is the cornerstone that determines the effectiveness of image processing, but traditional image segmentation methods have issues such as long computation time, low recognition accuracy, and poor anti-interference ability. To address this issue, research improves the genetic algori...
Published in: | IEEE Access |
---|---|
Main Author: | Wang J.; Tan Y.; Bo X.; Li G. |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210758407&doi=10.1109%2fACCESS.2024.3508796&partnerID=40&md5=c6f8f44143cc8a87dce56f9955080bb3 |
Similar Items
-
Image Segmentation Method With Improved GA Optimization of Two-Dimensional Maximum Entropy
by: Wang, et al.
Published: (2024) -
Simulation of Three-Dimensional Images and Estimation of Lung Volumes from Two-Dimensional MRI and CT Images
by: Binti Indera Putera S.H.; Bin Dzulkifli M.R.; Sidek N.B.; Abu Bakar Z.B.; Binti Mohammad N.N.
Published: (2022) -
Three-dimensional pharyngeal airway changes in dento-skeletal class II patients after two-jaw orthognathic surgery with segmentation – a pilot study
by: Tan. S.K.; Tang A.T.H.; Leung W.K.; Zwahlen R.A.
Published: (2018) -
Identities on Two-Dimensional Algebras
by: Ahmed H.; Bekbaev U.; Rakhimov I.
Published: (2020) -
Optimizing Photovoltaic Power Generation: A Fuzzy Control-Perturbation Observation Approach for Maximum Power Point Tracking
by: Li X.; Zakaria Z.B.H.; Hidayat M.N.B.
Published: (2024)