NCAT12-DET: A New Benchmark Dataset for Surface Defect Detection and a Comparative Study-Reference-Cited by-同舟云学术

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NCAT12-DET: A New Benchmark Dataset for Surface Defect Detection and a Comparative Study

Published:2024 Issue: Volume:12 Page:72607-72619
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gyimah Nana Kankam¹^ORCID,Akinie Robert¹^ORCID,Yan Xuyang¹^ORCID,Nabil Mahmoud¹^ORCID,Gupta Kishor Datta²^ORCID,Homaifar Abdollah¹^ORCID,Hemmati Vahid¹,Opoku Daniel³

Affiliation:

1. Electrical and Computer Engineering Department, North Carolina Agricultural and Technical State University, Greensboro, NC, USA

2. Department of Computer and Information Science, Clark Atlanta University, Atlanta, GA, USA

3. Department of Electrical and Electronic Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Funder

Lockheed Martin Corporation

National Aeronautics and Space Administration University Leadership Initiative

Department of Transportation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10534768.pdf?arnumber=10534768

Reference46 articles.

1. Research Progress of Automated Visual Surface Defect Detection for Industrial Metal Planar Materials

2. Research Progress of Visual Inspection Technology of Steel Products—A Review

3. An Automatic Surface Defect Inspection System for Automobiles Using Machine Vision Methods

4. Cost of quality: Evaluating cost-quality trade-offs for inspection strategies of manufacturing processes

5. A Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection

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