Extraction and Exploratory Analysis of Texture Features on Images of Timber Defect-Reference-Cited by-同舟云学术

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Extraction and Exploratory Analysis of Texture Features on Images of Timber Defect

Published:2018-02-01 Issue:2 Volume:24 Page:1104-1108
ISSN:1936-6612
Container-title:Advanced Science Letters
language:en
Short-container-title:adv sci lett

Author:

Hashim Ummi Raba’ah¹,Hashim Siti Zaiton Mohd²,Muda Azah Kamilah¹,Kanchymalay Kasturi¹,Jalil Intan Ermahani A¹,Anuar Aznah Nor³,Othman Muhammad Hakim⁴

Affiliation:

1. Computational Intelligence and Technologies Research Group, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia

2. Soft Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Johor, Malaysia

3. Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM), Johor, Malaysia

4. Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia

Publisher

American Scientific Publishers

Subject

General Energy,General Engineering,General Environmental Science,Education,General Mathematics,Health(social science),General Computer Science

Cited by 2 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. CCG-YOLOv7: A Wood Defect Detection Model for Small Targets Using Improved YOLOv7;IEEE Access;2024

2. Improved ResNet-50 model for identifying defects on wood surfaces;Signal, Image and Video Processing;2023-03-03

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