Abstract
This paper presents an original system for interactive content-based image retrieval (CBIR). A novel approach for searching by similarity is introduced. It is based on a classification of the index database using mixture models and the EM algorithm. The presented retrieval system is evaluated and validated using a medical image database and the Washington University heterogeneous database (ANN). © Springer-Verlag 2003.
Cite
CITATION STYLE
Najjar, M., Ambroise, C., & Cocquerez, J. P. (2003). Image retrieval using mixture models and EM algorithm. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2749, 1114–1121. https://doi.org/10.1007/3-540-45103-x_146
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