HSV color model applied to the development of steel rustimage recognition system for handheld devices
| Autor: | Kai-Sin Lin, 林楷欣 |
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| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 The research related to bridge engineering plays an important role in Taiwan''s construction industry. In Taiwan, the percentage of the degree of rust is considered as the standard of repainting steel bridge. Howerer, percentage is quantitative data, which needs to be measured by professional methods instead of subjective judgment. Therefore, this study combines the concept of image recognition with the goal of designing a system, which can read photos and automatically determine the rust and calculate the proportion. After that, this research combines it with a smart portable device to produce a mobile application system. The system principle is to define the range of "corrosion" through the HSV color model and to judge and identify. At the end of this research, the output system will be compared to the system which uses edge detection algorithm, and find that good results are obtained in terms of identification efficiency and computation speed. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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