Annotation of the medical images using quick response codes

Author:

Kazakevicūtė-Januskevicienė Girūta1,Usinskas Andrius2,Januskevicius Eugenijus3,Usinskienė Jurgita4,Letautienė Simona4

Affiliation:

1. Vilnius Gediminas Technical University, Dept. of Graphical systems, Vilnius, Lithuania

2. Vilnius Gediminas Technical University, Dept. of Electronic Systems, Vilnius, Lithuania

3. Vilnius Gediminas Technical University, Laboratory of Computer Aided Architectural Design, Vilnius, Lithuania

4. Vilnius University, Institute of Oncology, Vilnius, Lithuania

Abstract

The article proposes a novel annotating method of sufficient capacity and intended not only on-line but for off-line using for information preservation all advantages of two-dimensional barcodes. The semantic annotations are embedded directly into the reasonably chosen area of the image and bound by spatial identifiers with corresponding regions. The embedding method deals with the different quality requirements of the regions. Two-dimensional QR codes are used as the physical carrier of the annotation, providing the industrial grade for information detection, resilience and error correction capabilities. The annotation is distributed in a series of QR codes for efficient use of the available space. The results reveal that the spatial domain based technique is faster and has higher data embedding capacity than JPEG 2000 based. The amount of embedded information preserving the acceptable image quality in both proposed embedding cases is higher the average length of the presented original descriptions.

Publisher

National Library of Serbia

Subject

General Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hiding Patient Injury Information in Medical Images with QR Code;Recent Advances in Information and Communication Technology 2019;2019-05-12

2. Integration of QR Code Based on Generation, Parsing and Business Processing Mechanism;Proceedings of the International Conference on Information Technology and Electrical Engineering 2018;2018-12-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3