A novel image segmentation approach for wood plate surface defect classification through convex optimization-Reference-Cited by-同舟云学术

A novel image segmentation approach for wood plate surface defect classification through convex optimization

Published:2018-01-05 Issue:6 Volume:29 Page:1789-1795
ISSN:1007-662X
Container-title:Journal of Forestry Research
language:en
Short-container-title:J. For. Res.

Author:

Chang Zhanyuan,Cao Jun,Zhang Yizhuo

Publisher

Springer Science and Business Media LLC

Subject

Forestry

Link

http://link.springer.com/article/10.1007/s11676-017-0572-7/fulltext.html

Reference13 articles.

1. Baják S, Páles Z (2009) A separation theorem for nonlinear inverse images of convex sets. Acta Math Hung 124(1):125–144

2. Barszcz A, Michalec K, Wasik R (2014) A comparative analysis of pine and beech wood classification according to polish and eunorms. Drewno 57(193):135–145

3. Bhateja V, Srivastava A, Kalsi A (2014) Fast SSIM index for color images employing reduced-reference evaluation. Adv Intell Syst Comput 247:451–458

4. Bouhamidi A, Enkhbat R, Jbilou K (2014) Conditional gradient Tikhonov method for a convex optimization problem in image restoration. J Comput Appl Math 255:580–592

5. Castellani M, Rowlands H (2009) Evolutionary artificial neural network design and training for wood veneer classification. Eng Appl Artif Intell 22:732–741

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Efficient and Accurate Surface Defect Detection Method for Wood Based on Improved YOLOv8;Forests;2024-07-06

2. Wood broken defect detection with laser profilometer based on Bi-LSTM network;Expert Systems with Applications;2024-05

3. A Comparative Analysis of Oak Wood Defect Detection Using Two Deep Learning (DL)-Based Software;Applied System Innovation;2024-04-15

4. A Multi-Source Data Fusion Network for Wood Surface Broken Defect Segmentation;Sensors;2024-03-02

5. Surface defect detection of sawn timbers based on efficient multilevel feature integration;Measurement Science and Technology;2024-01-04