Improving laser image resolution for pitting corrosion measurement using Markov random field method
| Autor: | Dennis Krys, Zheng Liu, Wei Wu |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Engineering drawing
Engineering Markov random field business.industry Building and Construction Ductile iron pipe Belief propagation Laser Image (mathematics) law.invention Control and Systems Engineering law Pitting corrosion business Algorithm Image resolution Civil and Structural Engineering Interpolation |
| Zdroj: | Automation in Construction. 21:172-183 |
| ISSN: | 0926-5805 |
| DOI: | 10.1016/j.autcon.2011.06.002 |
| Popis: | To characterize the pitting corrosion of metallic pipe, high-resolution laser scan is indispensable. In many cases, only low-resolution scan can be obtained due to the limitations of the scanning equipment or time constraint. Although interpolation method can be applied to enlarge the low-resolution image, the enlarged laser scan loses the details of surface topography, which are important to calculate the parameters of pitting corrosion. In this paper, a singe-frame super resolution method is proposed to infer a high-resolution laser scan from the low-resolution input. The relationship between the low-resolution input and high-resolution result is modeled with a Markov random field (MRF) with the aid of a training set built in advance. A belief propagation algorithm is implemented to infer the super-resolved result. The experiments demonstrate a good performance of the proposed method in comparison with the traditional interpolation methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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