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The emergence of large image databases in organizations and on the Internet has prompted the need for effective and efficient retrieval systems. One part that contributes immensely to this is the (dis)similarity and retrieval algorithms used in the retrieval systems. This paper gives a brief review of (dis)similarity and retrieval algorithms. The (dis)similarity algorithms are classified into metric and non-metric categories. The use of (dis)similarity algorithms in modelling of the image databases is also highlighted. The relevant feedback is included as a necessary component for image retrieval systems.
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