31 January 1995 Experience with CANDID: comparison algorithm for navigating digital image databases
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Proceedings Volume 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities; (1995); doi: 10.1117/12.200807
Event: 23 Annual AIPR Workshop: Image and Information Systems: Applications and Opportunities, 1994, Washington, DC, United States
Abstract
This paper presents results from our experience with CANDID (comparison algorithm for navigating digital image databases), which was designed to facilitate image retrieval by content using a query-by-example methodology. A global signature describing the texture, shape, or color content is first computed for every image stored in a database, and a normalized similarity measure between probability density functions of feature vectors is used to match signatures. This method can be used to retrieve images from a database that are similar to a user-provided example image. Results for three test applications are included.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick M. Kelly, T. Michael Cannon, "Experience with CANDID: comparison algorithm for navigating digital image databases", Proc. SPIE 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities, (31 January 1995); doi: 10.1117/12.200807; https://doi.org/10.1117/12.200807
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KEYWORDS
Databases

Image retrieval

Digital imaging

Distance measurement

Computed tomography

Image processing

Lung

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