Kruitbosch, HT and Azzopardi, G (2015) Perceptual industrial surface quality inspection. Master's Thesis / Essay, Computing Science.
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Abstract
Automated industrial quality inspection is an important factor in economizing production processes and improving the quality of products. Manual alternatives are often hard to implement in industrial settings or too expensive. This thesis proposes the use of perceptual image quality measures for this purpose and as part of a pipeline applies such a measure, structural similarity, to assess the quality of Playmobil toy figures. The pipeline also includes methods to select an ideal golden reference for comparison with a specific test sample, which significantly improves generalization. The pipeline ends by focussing on low-similarity regions of the toy figure and derives one value as a response to quantify the defectiveness. To test the pipeline we also implemented methods to create artificial data sets. Ultimately we achieve a classification accuracy between 90% and 100%.
| Item Type: | Thesis (Master's Thesis / Essay) |
|---|---|
| Degree programme: | Computing Science |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 15 Feb 2018 08:03 |
| Last Modified: | 15 Feb 2018 08:04 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/12675 |
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