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 …
Classification and Grading of Okra-ladies finger using Deep Learning
Okra (Hibiscus esculentus) is a fruit/vegetable crop commonly known as lady's finger,
Gumbo, Bhindi or gombo. The grading for Okra is performed to enable pricing …
Gumbo, Bhindi or gombo. The grading for Okra is performed to enable pricing …
OCR-nets: variants of pre-trained CNN for Urdu handwritten character recognition via transfer learning
Deep Convolutional neural networks (CNN) have been among the utmost competitive
neural network architectures and have set the state-of-the-art in various fields of computer …
neural network architectures and have set the state-of-the-art in various fields of computer …
A systematic literature review on face morphing attack detection (mad)
MO Kenneth, BA Sulaimon, SM Abdulhamid… - Illumination of Artificial …, 2022 - Springer
Morphing attacks involve generating a single artificial facial photograph that represents two
distinct qualities and utilizing it as a reference photograph on a document. The high quality …
distinct qualities and utilizing it as a reference photograph on a document. The high quality …
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 …
Detection and localization of defects on natural leather surfaces
Defects that appear on a leather surface may be the result of natural variations or poor
handling during the manufacturing process. Visual inspection in the factory is one of the …
handling during the manufacturing process. Visual inspection in the factory is one of the …
Ensemble convolutional neural networks with knowledge transfer for leather defect classification in industrial settings
Leather defect analysis is important for leather quality grading which directly effects the
leather exports. Automated leather sample classification is vital due to slow and subjective …
leather exports. Automated leather sample classification is vital due to slow and subjective …
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 …
Digital microscopic image sensing and processing for leather species identification
Leather is a durable material well-known for its fashion, style, and versatility. Identifying the
animal species from which leather originated is necessary in leather quality-check, fraud …
animal species from which leather originated is necessary in leather quality-check, fraud …
Learning species-definite features from digital microscopic leather images
In the leather industry, identifying species of leather holds a significant step toward
consistent global leather trade. Intertwining image processing and a learning algorithm with …
consistent global leather trade. Intertwining image processing and a learning algorithm with …