| Autor: |
Shapiro, L. G., Atmosukarto, I., Cho, H., Lin, H. J., Ruiz-Correa, S., Yuen, J. |
| Zdroj: |
Case-based Reasoning on Images & Signals; 2008, p355-387, 33p |
| Abstrakt: |
Similarity-based image retrieval, which has become an important area of computer vision, is a part of the case-based reasoning scenario. In similarity-based retrieval, a query image is provided and similar images from a database are retrieved, usually in order of similarity. In this chapter, we discuss the use of similarity-based retrieval for biomedical data. In particular, we describe three different applications that retrieve various types of image and signal data using similarity functions, including brain data (fMRI images and single-unit recording signals), mouse eye data (slit lens images), and skull data (CT scans). We define the similarity measures used in these applications and then discuss a unified query framework for multimedia data in general. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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