An Automatic Method to detect defects for Solid Rocket Motor
Qian Fu, Jiuling Zhao
Available Online May 2015.
- 10.2991/asei-15.2015.382How to use a DOI?
- solid rocket motor; bot-hat transformation; threshold segmentation.
Since the traditional defects detection methods on the CT image was not highly automated and could not lead to satisfied effects, a new defects detection method of the solid rocket motor was proposed based on the bot-hat transformation and threshold segmentation. Firstly, the bot-hat transformation was adopted to transform original images to gray images with enhanced valley values; secondly, an automatic threshold segmentation algorithm was designed to segment the defects in the gray images. It was found that with the new proposed defects detection method, the spatial distributions, outlines and size characteristics of the defects could be clearly detected, which demonstrated an effective detection result.
- © 2015, 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 - Qian Fu AU - Jiuling Zhao PY - 2015/05 DA - 2015/05 TI - An Automatic Method to detect defects for Solid Rocket Motor BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 1935 EP - 1939 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.382 DO - 10.2991/asei-15.2015.382 ID - Fu2015/05 ER -