Research and Implementation of the Automatic Detection System of Aggregate Particles Characteristic Parameters Based on VC

DOI

10.2991/icsecs-13.2013.54How to use a DOI?

Keywords

aggregate particles detection; characteristic parameters; image segmentation; region-labeling; contour tracking; database

Abstract

For the purpose of obtaining the characteristic parameters of the asphalt mixture aggregate particles, this paper put forward a viable method using two-dimensional image. The automatic detection system of asphalt mixture aggregate characteristic parameters is developed based on VC++. A series of processing are done on the aggregate images collected, including image edge detection, image segmentation, morphological processing, region-labeling, contouring and so on .The region-labeling algorithm is improved ending with low complexity, high robustness. Database technology is used to deal with the storage, query of the results and several other operations. The whole system characterized with perfect function, user-friendly interface and stable performance, providing a practical and accurate method for the characteristic detection of asphalt mixture aggregate particles.

Copyright

© 2013, 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  - Zhaoyun Sun
AU  - Xueli Hao
AU  - Wei Li
AU  - Mengxia Yuan
PY  - 2013/09
DA  - 2013/09
TI  - Research and Implementation of the Automatic Detection System of Aggregate Particles Characteristic Parameters Based on VC
BT  - Proceedings of the 2013 International Conference on Software Engineering and Computer Science
PB  - Atlantis Press
SP  - 249
EP  - 253
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsecs-13.2013.54
DO  - 10.2991/icsecs-13.2013.54
ID  - Sun2013/09
ER  -