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Automated Image Processing for Scratch Detection on Specular Surfaces
Date
2018-10-26
Author
Okbay, Volkan
Akar, Gözde
Yaman, Ulaş
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https://hdl.handle.net/11511/82543
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Automated image processing for scratch detection on specular surfaces
Okbay, Volkan; Akar, Gözde; Department of Electrical and Electronics Engineering (2018)
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 s...
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Measuring viewer engagement plays a crucial role in education and entertainment. In this study we analyze head motions of the viewers from video streams to automatically determine their engagement level. Due to unavailability of a dataset for such an application, we have built our own dataset. By using face detection system, the head position of viewer is obtained throughout the video for each frame. Then, using these positions, we analyze and extract some features. In order to classify the data, we employ ...
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V. Okbay, G. Akar, and U. Yaman, “Automated Image Processing for Scratch Detection on Specular Surfaces,” 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/82543.