Leather Defect Detection Using Semantic Segmentation: A Hardware platform and software prototype

Author:

Khanal Salik Ram,Silva Jorge,Magalhães Luís,Soares João,Gonzalez Dibet Garcia,Castilla Yusbel Chavez,Ferreira Manuel J.

Funder

European Regional Development Fund

Programa Operacional Temático Factores de Competitividade

Publisher

Elsevier BV

Subject

General Engineering

Reference33 articles.

1. Real-time implementation of fabric defect detection based on variational automatic encoder with structure similarity;Wei;J. Real-Time Image Process.,2021

2. Sylvester Matrix-Based Similarity Estimation Method for Automation of Defect Detection in Textile Fabrics;Kumari;J. Sensors,2021

3. Leather defect classification and segmentation using deep learning architecture;Liong;Int. J. Comput. Integr. Manuf.,2020

4. Research on inspection and classification of leather surface defects based on neural network and decision tree;Jian,2010

5. Integrated Neural Network and Machine Vision Approach For Leather Defect Classification;Liong;CoRR,2019

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2. Revolutionizing leather quality assurance through deep learning powered precision in defect detection and segmentation by a comparative analysis of Mask RCNN and YOLO v8;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

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