Application of Run Length Encoding In Track Vision Inspection System
- DOI
- 10.2991/ifmeita-16.2016.128How to use a DOI?
- Keywords
- run length encoding, morphological dilation, image processing, vision inspection
- Abstract
Optimized the binary image morphological dilation algorithm by run length encoding with the optimization features in background redundant and intersection and union simple operation, the Run Length Encoding-Morphological Dilation optimized algorithm had been proposed. The track contour binary image was processed by morphological dilation with the optimized algorithm. Compared analysis based on the image processing result and the speed before and after optimization. The edge burr and disconnection phenomenon can be removed by the optimized algorithm. The processing result of the track contour single frame image increased 5 times. The detection accuracy of the track visual inspection system can be improved to 20 points per meter.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Fei Kang PY - 2016/01 DA - 2016/01 TI - Application of Run Length Encoding In Track Vision Inspection System BT - Proceedings of the 2016 International Forum on Management, Education and Information Technology Application PB - Atlantis Press SP - 700 EP - 704 SN - 2352-5398 UR - https://doi.org/10.2991/ifmeita-16.2016.128 DO - 10.2991/ifmeita-16.2016.128 ID - Kang2016/01 ER -