The Detection of Container Body Base on Multiple Features
Ziyi Chen, Yinxi Zheng, Junhao Wang, Lisheng Wang
Available Online November 2013.
- https://doi.org/10.2991/icmt-13.2013.9How to use a DOI?
- container detection; HSV color model; texture features;
- Since the 20th century, the global container transportation is developing very quickly. Unfortunately, although many container terminals have adopted modern management, the character recognition of containers still need the operation of manual read and manual record, which will not only cause the operation errors, but also slow the transportation speed. The character recognition system of container is the key to solve the problem, and in the system, the detection of the container body is a vital step. The traditional method for container detection is background subtraction, using an image with the container trunk to minus an image with no container trunks, then extracting the container body by the result. However, for the actual collected image, because of the factors of the low image resolution, the illumination change and the projection of the trunk, the brightness of origin background region will be changed a lot. If continue using traditional method, the extraction error may be made. Through the observation of the actual image, because the containers show obvious color features and texture features, a method based on HSV color model and texture features has been proposed. By the test, good results have been achieved.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ziyi Chen AU - Yinxi Zheng AU - Junhao Wang AU - Lisheng Wang PY - 2013/11 DA - 2013/11 TI - The Detection of Container Body Base on Multiple Features BT - 3rd International Conference on Multimedia Technology(ICMT-13) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icmt-13.2013.9 DO - https://doi.org/10.2991/icmt-13.2013.9 ID - Chen2013/11 ER -