Automatic Detection of Reference Region in Label Images

DOI

10.2991/icimm-16.2016.39How to use a DOI?

Keywords

Reference Region; MSER; Shape-Matching; Similarity Measure.

Abstract

In regard to automatic quality inspection for label printings, a reference region is necessary for finding the region of interest. With such a reference region, the defects of the region of interest can be analysed. The reference region should be unique, stable and have a high contrast against the background. This paper proposes a method to automatically locate such a reference region. First, the maximally stable extremal regions method is used to obtain a series of regions, including reference regions and noisy regions. Next, a constrained model is established to filter out regions that are undesirable for use as reference regions. After that, to ensure all filtered regions are unique, a method to detect similar regions is applied based on shape-matching. Compared with other similarity measure methods, the shape-matching method shows better performance. Experiments on label images show the effectiveness and stability of our algorithm. The proposed method provides a new way for quality inspection of label printings in an industrial setting.

Copyright

© 2016, 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  - Yuheng Wang
AU  - Chune Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Automatic Detection of Reference Region in Label Images
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 193
EP  - 199
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.39
DO  - 10.2991/icimm-16.2016.39
ID  - Wang2016/11
ER  -