A New Model of Adaptive Container Image Preprocessing

DOI

10.2991/icmmcce-15.2015.402How to use a DOI?

Keywords

Container image; preprocessing; color gradient; connected domain; weighting.

Abstract

The preprocessing of container image is the key to the whole container code intelligent identification system, and the result of treatment directly affects the accuracy of the code area positioning, the character segmentation and recognition. Based on some features of container images such as the color, the gradient and the connected domain we proposed a novel and adaptive container image preprocessing model. In traditional methods,there are many parameters should be optimized,and multi-parameter optimization is a difficult point.Yet,our model not only solve the problem skillfully,but also can remove a large number the background color of container image adaptively when the color difference of background and target is small.Therefore,our model can better on container area segmentation,character segmentation and recognition.A lot of experimental results showed that the proposed model can effectively extract the more effect.

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/).

Download article (PDF)

TY  - CONF
AU  - Yajie Zhu
AU  - Qikun Zhang
AU  - Weiming Zeng
PY  - 2015/12
DA  - 2015/12
TI  - A New Model of Adaptive Container Image Preprocessing
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.402
DO  - 10.2991/icmmcce-15.2015.402
ID  - Zhu2015/12
ER  -