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http://dx.doi.org/10.6109/jkiice.2019.23.4.374

ROI Extraction for Automatic Placard Recognition  

Heo, Gyeongyong (Department of Electronic Engineering, Dong-eui University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.4, 2019 , pp. 374-380 More about this Journal
Abstract
Containers are fitted with various placards on the surface to indicate the risk of cargo. If the containers are loaded with dangerous goods, care should be taken in handling the containers. Therefore, as part of the port automation system, there is a demand for automatic placard recognition. In this paper, proposed is a method to extract placard areas from a container image, which is the first part of the placard recognition system. The fact that placards are of various types but all have a diamond shape can be an advantage in recognition. However, it is a disadvantage in recognition that the placards can be distorted in various ways because the container surface is not flat. When the proposed method was applied to actual images, type I error did not occur. In addition, since the shape feature of the object and basic image operations are used to extract regions of interest, it can be applied to various shape-based region extraction problems.
Keywords
Container; Placard; Region of Interest; Image Deformation;
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Times Cited By KSCI : 1  (Citation Analysis)
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