Content Based Image Retrieval (CBIR) by Statistical Methods

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Fathala Ali et al.
https://orcid.org/0000-0003-1751-2486

Abstract

            An image retrieval system is a computer system for browsing, looking and recovering pictures from a huge database of advanced pictures. The objective of Content-Based Image Retrieval (CBIR) methods is essentially to extract, from large (image) databases, a specified number of images similar in visual and semantic content to a so-called query image. The researchers were developing a new mechanism to retrieval systems which is mainly based on two procedures. The first procedure relies on extract the statistical feature of both original, traditional image by using the histogram and statistical characteristics (mean, standard deviation). The second procedure relies on the T- test to measure the independence between more than images, (coefficient of correlate, T- test, Level of significance, find the decision), and, through experimental test, it was found that this proposed method of retrieval technique is powerful than the classical retrieval System.

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How to Cite
1.
Ali et al. F. Content Based Image Retrieval (CBIR) by Statistical Methods. BSJ [Internet]. 23Jun.2020 [cited 7Aug.2020];17(2(SI):0694. Available from: http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4212
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