An Automatic Method to detect defects for Solid Rocket Motor

DOI

10.2991/asei-15.2015.382How to use a DOI?

Keywords

solid rocket motor; bot-hat transformation; threshold segmentation.

Abstract

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.

Copyright

© 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/).

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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  -