Image Filtering for Secure Distribution of Medical Information

越来越多的信息是以图像的形式通过互联网传输的. 这一趋势包括用于诊断和研究的医学图像，以及希望避免侵犯安全和隐私的其他材料。 虽然文本材料的隐私和机密性控制一直是研究活动的焦点，但图像提出了新的更具挑战性的问题。 随着现代计算和通信促进了图像形式的信息的使用，除了文本之外，图像过滤变得更加重要。该项目建议提供图像过滤功能，以补充检查文件内容的其他手段。 感兴趣的领域是电子医疗记录，但研究产品预计将推广到其他感兴趣的领域。 这项工作的重点将是进一步开发基于小波的算法，用于搜索医学图像数据库和从多媒体医学数据库检索相关信息;从图像中提取文本信息;推进保护隐私和实施安全中介的做法;以及探索安全中介的万维网接口。

An increasing amount of information being transmitted over the Internet isin image form. This trend includes medical images used in diagnosis and research, and other materials for which it is desirable to avoid violations of security and privacy. While privacy and secuity control of textual materials has long been a focus of research activities, images present new and more challenging problems. Filtering of images in addition to text becmes more essential as modern computing and communications facilitates the use of information in image form. This project proposes to provide image filtering capabilities to complement other means of checking the contents of documents. The domain of interest is electronic medical records, but the research products are expected to be generalizable to other domains of interest. The effort will forcus on developing further wavelet-based algorithms for searching medical image databases and retrieving relevant information from multimedia medical databases; extracting textual information from images; advancing practices for the protection of privacy and implementing a security mediator; and exploring WWW interfaces for security mediators.