Defect detection in textured images
Texture defect detection is an important research area which can find direct applications in industry. The research work reported in this thesis includes a study of the texture defect detection problem. The study looked into the nature of defect and its detection requirements. Requirements on featur...
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| Format: | Thesis |
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2010
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| Online Access: | http://hdl.handle.net/10356/38972 |
| _version_ | 1826111696660332544 |
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| author | Dong, Ziqiang |
| author2 | Chan, Kap Luk |
| author_facet | Chan, Kap Luk Dong, Ziqiang |
| author_sort | Dong, Ziqiang |
| collection | NTU |
| description | Texture defect detection is an important research area which can find direct applications in industry. The research work reported in this thesis includes a study of the texture defect detection problem. The study looked into the nature of defect and its detection requirements. Requirements on features that are suitable for defect detection are discussed. Feature stability is believed to be more important in defect detection than in texture segmentation and classification. This motivates the concept of using a local interaction neighbourhood that enables stable feature extraction. |
| first_indexed | 2024-10-01T02:55:02Z |
| format | Thesis |
| id | ntu-10356/38972 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T02:55:02Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/389722023-07-04T15:30:56Z Defect detection in textured images Dong, Ziqiang Chan, Kap Luk School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Texture defect detection is an important research area which can find direct applications in industry. The research work reported in this thesis includes a study of the texture defect detection problem. The study looked into the nature of defect and its detection requirements. Requirements on features that are suitable for defect detection are discussed. Feature stability is believed to be more important in defect detection than in texture segmentation and classification. This motivates the concept of using a local interaction neighbourhood that enables stable feature extraction. Master of Engineering 2010-05-21T03:38:04Z 2010-05-21T03:38:04Z 1997 1997 Thesis http://hdl.handle.net/10356/38972 Nanyang Technological University 91 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Dong, Ziqiang Defect detection in textured images |
| title | Defect detection in textured images |
| title_full | Defect detection in textured images |
| title_fullStr | Defect detection in textured images |
| title_full_unstemmed | Defect detection in textured images |
| title_short | Defect detection in textured images |
| title_sort | defect detection in textured images |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/38972 |
| work_keys_str_mv | AT dongziqiang defectdetectionintexturedimages |