Online Fabric Defect Inspection Using Smart Visual Sensors
Fabric defect inspection is necessary and essential for quality control in the textile industry. Traditionally, fabric inspection to assure textile quality is done by humans, however, in the past years, researchers have paid attention to PC-based automatic inspection systems to improve the detection...
Main Authors: | Changqing Sun, Jingxuan Ai, Yundong Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2013-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/13/4/4659 |
Similar Items
-
Product Inspection Methodology via Deep Learning: An Overview
by: Tae-Hyun Kim, et al.
Published: (2021-07-01) -
An Efficient YOLO Algorithm with an Attention Mechanism for Vision-Based Defect Inspection Deployed on FPGA
by: Longzhen Yu, et al.
Published: (2022-06-01) -
Analysis of Training Deep Learning Models for PCB Defect Detection
by: Joon-Hyung Park, et al.
Published: (2023-03-01) -
A Systematic Review of Machine-Vision-Based Leather Surface Defect Inspection
by: Zhiqiang Chen, et al.
Published: (2022-07-01) -
Detection of surface defects in welded joints during visual inspections using machine vision methods
by: M.G. Yemelyanova, et al.
Published: (2023-02-01)