Wood quality defect detection based on deep learning and multicriteria framework

P Sun - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Traditional nondestructive testing technology for wood defects has a series of problems such
as low identification accuracy, high cost, and cumbersome operation, and traditional testing …

[PDF][PDF] Analysis of color features performance using support vector machine with multi-kernel for batik classification.

E Winarno, W Hadikurniawati, A Septiarini… - International Journal of …, 2022 - ezyaccess.in
Indonesia is a country with a diverse cultural heritage, especially related to traditional fabrics
originating from various regions. Sarong and Batik are traditional fabrics from Indonesia …

Towards Web-Based Automation: A Comparative Analysis of Feature Extraction Approaches and Applications for Quality Control

S Cheraghi, A Chalechale… - 2023 9th International …, 2023 - ieeexplore.ieee.org
In recent years, with the development of science and technology, the emerging competitive
markets in various industries, and the need for quality control, quantitative and qualitative …

[PDF][PDF] Local texture representation for timber defect recognition based on variation of LBP

RNN Rahiddin, UR Hashim, L Salahuddin… - Int. J. Adv. Comput. Sci …, 2022 - academia.edu
This paper evaluates timber defect classification performance across four various Local
Binary Patterns (LBP). The light and heavy timber used in the study are Rubberwood, KSK …

A fast detection method for building wood measurement based on interval type-2 fuzzy model

C Wang, S Xu, Q Gui, M Jin - Measurement Science and …, 2023 - iopscience.iop.org
Automatic measurement detection in the process of wood processing can effectively improve
production efficiency and yield to promote upgrading the wood processing industry …

Research on wood defect detection based on deep learning

H An, K Liu, Z Liang, M Qin, Y Huang… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
Wood defects limit the efficient use of wood, but this problem can be effectively avoided
through wood defect detection. This paper analyzes the traditional wood defect detection …