The DOI matches its Crossref record; 25 of the 26 references it cites were found in a registry or an index.
Shape-based retrieval of industrial surface defects using angular radius Fourier descriptor
Abstract
Current industrial surface inspection systems are capable of detecting various defects and producing images of them. The defect images are collected into large image databases. Effective retrieval methods are necessary to analyse the defects stored in the database. In this work, a novel shape descriptor for surface defect image retrieval is presented. The descriptor is based on the Fourier transform of the defect boundary. The proposed method, angular radius Fourier descriptor, combines the boundary function with the directional angle of the boundary line. The proposed method outperforms ordinary Fourier descriptors in the retrieval of paper defect shapes without increasing computational cost.
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Cited by
A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques
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Automated Visual Defect Classification for Flat Steel Surface: A Survey
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Few-shot semantic segmentation for industrial defect recognition
Shi, X., Zhang, S., Cheng, M., He, L. L., Tang, X., & Cui, Z. (2023) · Computers in Industry · doi:10.1016/j.compind.2023.103901 · Cited by 53
Metadata
- Authors
- Kunttu, I., & Lepistö, L.
- Affiliations
- Tampere University of Technology (FI)
- Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, Tampere, FI-33101, Finland
- ORCID
- Kunttu, I.
- Venue
- IET Image Processing
- Published
- 2007-06-05
- Volume
- 1
- Issue
- 2
- Pages
- 231-236
- ISSN
- 1751-9659 (ISSN-L)
- 1751-9667
- OpenAlex
- W2035919971
- Cited by
- 34
- References
- 26
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 1 · 2020: 1 · 2018: 1 · 2017: 1 · 2016: 3 · 2014: 1 · 2013: 3 · 2012: 5
- FWCI
- 5.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IET Image Processing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Processing and 3D Reconstruction
- Keywords
- shape retrieval, Fourier descriptors, paper defects, shape features, image retrieval
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