A systematic review of machine-vision-based leather surface defect inspection
Z Chen, J Deng, Q Zhu, H Wang, Y Chen - Electronics, 2022 - mdpi.com
Machine-vision-based surface defect inspection is one of the key technologies to realize
intelligent manufacturing. This paper provides a systematic review on leather surface defect …
intelligent manufacturing. This paper provides a systematic review on leather surface defect …
Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses
The data about high students' failure rates in introductory programming courses have been
alarming many educators, raising a number of important questions regarding prediction …
alarming many educators, raising a number of important questions regarding prediction …
Surface defect detection of wet-blue leather using hyperspectral imaging
SY Chen, YC Cheng, WL Yang, MY Wang - IEEE Access, 2021 - ieeexplore.ieee.org
Detection of surface defects on wet-blue leather is much more challenging than raw-hide
leather. Since wet-blue leather turns blue and contains moisture after pre-treatment, it is a …
leather. Since wet-blue leather turns blue and contains moisture after pre-treatment, it is a …
On the application of automated machine vision for leather defect inspection and grading: a survey
Reliably and effectively detecting and classifying leather surface defects is of great
importance to tanneries and industries that use leather as a major raw material such as …
importance to tanneries and industries that use leather as a major raw material such as …
MLR-Net: A multi-layer residual convolutional neural network for leather defect segmentation
It is critical to recognize anomalous features in wet-blue leather samples as part of industrial
quality control in the leather industry. In industrial settings, manual inspection of leather …
quality control in the leather industry. In industrial settings, manual inspection of leather …
Deep Learning Approaches for Multi Class Leather Texture Defect Classifcation
T Akter, ASA Samman, AH Lily… - 2024 15th …, 2024 - ieeexplore.ieee.org
Leather is still a preferred item high end consumer item. It is loved for its durability and
luxurious texture. However, to maintain a perfect quality standards inspection are needed for …
luxurious texture. However, to maintain a perfect quality standards inspection are needed for …
Comparative study on deep-learning-based leather surface defect identification
Z Chen, D Xu, J Deng, Y Chen… - Measurement Science and …, 2023 - iopscience.iop.org
Detecting leather surface defects has become an important subject in industrial inspections
and attracted significant attention as a challenging task. Traditional image processing …
and attracted significant attention as a challenging task. Traditional image processing …
Trainable guided attention based robust leather defect detection
Automatic leather defect detection is becoming increasingly important as a crucial
requirement for industry 4.0. It is a highly challenging problem due to the varying …
requirement for industry 4.0. It is a highly challenging problem due to the varying …
Vision based leather defect detection: a survey
Increasing consumer quality awareness and increase in consumer wealth drives the market
demand for high quality leather and leather products. Reliable and effective detection and …
demand for high quality leather and leather products. Reliable and effective detection and …
[PDF][PDF] Pre-trained convolutional neural network for classification of tanning leather image
Leather craft products, such as belt, gloves, shoes, bag, and wallet are mainly originated
from cow, crocodile, lizard, goat, sheep, buffalo, and stingray skin. Before the skins are used …
from cow, crocodile, lizard, goat, sheep, buffalo, and stingray skin. Before the skins are used …