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 …
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.
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 …
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 …
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
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 …
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 …
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 …
through wood defect detection. This paper analyzes the traditional wood defect detection …