A Uniform Illumination Model of Rail Surface Suitable for Machine Vision Inspection
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
In the process of rail surface defect detection, the collected image data is the original data, which is the basis of the whole system. Their quality determines the accuracy of later defect extraction and the speed of the algorithm. In order to collect high-quality rail surface images, this paper proposes an optical theoretical model for rail surface defect detection that can provide stable and uniform illumination conditions, analyses the relationship between image histogram and image quality, and studies a reflective surface that can avoid. The light source directly illuminates the surface of the rail. By designing a reasonable lighting system, 270-degree stable and uniform lighting is provided for the rail surface. Experiments demonstrate the rationality of the proposed model. The results show that the stable uniform illumination enhances the contrast of defects and background, which facilitates image recognition in post-image processing. Moreover, the incident angle of the uniform illumination is evenly distributed, which effectively eliminates the image quality influence caused by vibration and other reasons during the detection process.
Details
| Original language | English |
|---|---|
| Title of host publication | Developments and Applications in SmartRail, Traffic, and Transportation Engineering |
| Editors | Limin Jia, Yong Qin, Said Easa |
| Publisher | Springer Science and Business Media B.V. |
| Pages | 547-553 |
| Number of pages | 7 |
| ISBN (electronic) | 978-981-97-3682-9 |
| ISBN (print) | 978-981-97-3681-2, 978-981-97-3684-3 |
| Publication status | Published - 2024 |
| Peer-reviewed | Yes |
Publication series
| Series | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 1209 LNEE |
| ISSN | 1876-1100 |
Conference
| Title | 7th International Conference on SmartRail, Traffic, and Transportation Engineering |
|---|---|
| Abbreviated title | ICSTTE 2023 |
| Conference number | 7 |
| Duration | 28 - 30 July 2023 |
| Website | |
| City | Changsha |
| Country | China |
Keywords
ASJC Scopus subject areas
Keywords
- Defect, Detect, Machine Vision, Rail Surface, Uniform Illumination