基于小波的眼底图像安全非信息编码

Ashish Khatter, Akshat Browne, Anushikha Singh, M. Dutta
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引用次数: 0

摘要

针对远程医疗应用中眼底图像的安全问题,提出了一种生成唯一非信息识别码的算法。与传统的水印等方法不同,该方法不会对医学图像进行篡改,保证了医学信息的不丢失。将眼底图像的小波域统计特征与数字患者ID有策略地结合,生成独特的数字模式。通过对生成的唯一数字模式的访问,可以准确地恢复患者数据,解决眼底图像的安全问题。该算法在可公开访问的医学眼底图像DRlVE数据集上进行了实验,在眼底图像识别方面取得了良好的效果。因此,所介绍的工作可以在远程医疗行业及其应用中实施,其中精确和无损失的验证是强制性的,因为这可能在人类生命受到威胁的时候产生巨大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet based non-informative code for security of fundus images
This paper proposes an algorithm for generating unique and non-informative identification code for security of medical fundus images in tele-medicine applications. Unlike the conventional methods like watermarking, the proposed technique does not tamper the medical images which ensure no loss of medical information. The unique digital pattern is generated from strategically combination of statistical features of fundus image in wavelet domain and digital patient ID. The Patient data can be recovered accurately only on access of generated unique digital pattern to solve the security issue of fundus images. The proposed algorithm is experimented on publically accessible DRlVE dataset of medical fundus image and attained promising results in identification of fundus images. The presented work can therefore be implemented in telemedicine industry and its applications where precise and loss-less verification is mandatory as this may have a huge impact at times when human life is at stake.
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