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Automated image processing for scratch detection on specular surfaces
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Date
2018
Author
Okbay, Volkan
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In industry, problems due to human error, mechanical flaws and transportation may occur; besides, they need to be detected in fast and efficient ways. In order to eliminate failure of human inspection, automated systems come in action, usually image processing involved. This thesis work, targets one common mass production problem on specular surfaces, i.e. scratch detection. To achieve this, we have implemented two different prototypes. The low-cost system is based on basic line detection, and the mid-end system depends on learning based detection. Both systems are implemented on embedded platforms and performance comparisons are done. Detailed analysis is carried out on computational cost and detection performance. This real-world episode is done on a mechanical prototype in laboratory environment
Subject Keywords
Surfaces (Technology).
,
Image processing.
,
Computer vision.
URI
http://etd.lib.metu.edu.tr/upload/12622717/index.pdf
https://hdl.handle.net/11511/27527
Collections
Graduate School of Natural and Applied Sciences, Thesis
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V. Okbay, “Automated image processing for scratch detection on specular surfaces,” M.S. - Master of Science, Middle East Technical University, 2018.
