Qi H, Snyder W E
Center for Advanced Computing and Communication, North Carolina State University, Raleigh 27695-7914, USA.
J Digit Imaging. 1999 May;12(2 Suppl 1):81-3. doi: 10.1007/BF03168763.
We propose the concept of content-based image retrieval (CBIR) and demonstrate its potential use in picture archival and communication system (PACS). We address the importance of image retrieval in PACS and highlight the drawbacks existing in traditional textual-based retrieval. We use a digital mammogram database as our testing data to illustrate the idea of CBIR, where retrieval is carried out based on object shape, size, and brightness histogram. With a user-supplied query image, the system can find images with similar characteristics from the archive, and return them along with the corresponding ancillary data, which may provide a valuable reference for radiologists in a new case study. Furthermore, CBIR can perform like a consultant in emergencies when radiologists are not available. We also show that content-based retrieval is a more natural approach to man-machine communication.
我们提出了基于内容的图像检索（CBIR）的概念，并展示了其在图像存档与通信系统（PACS）中的潜在用途。我们阐述了图像检索在PACS中的重要性，并强调了传统基于文本的检索中存在的缺点。我们使用数字乳腺X线摄影数据库作为测试数据来说明CBIR的理念，其中检索是基于对象的形状、大小和亮度直方图进行的。对于用户提供的查询图像，系统可以从存档中找到具有相似特征的图像，并将它们与相应的辅助数据一起返回，这在新的病例研究中可能为放射科医生提供有价值的参考。此外，当没有放射科医生时，CBIR在紧急情况下可以起到顾问的作用。我们还表明，基于内容的检索是一种更自然的人机通信方式。
