Proceedings of the 2016 International Forum on Management, Education and Information Technology Application

Application of Run Length Encoding In Track Vision Inspection System

Authors
Fei Kang
Corresponding Author
Fei Kang
Available Online January 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Forum on Management, Education and Information Technology Application
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2016
ISBN
978-94-6252-166-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/ifmeita-16.2016.128How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 2016 International Forum on Management, Education and Information Technology Application
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-16.2016.128
DO  - https://doi.org/10.2991/ifmeita-16.2016.128
ID  - Kang2016/01
ER  -