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Content Based Image Retrieval (CBIR) by Statistical Methods

Ali et al, Fathala

Majallat Baghdād lil-ʻulūm, , Vol.17 (2(SI)), p.694

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Título:
Content Based Image Retrieval (CBIR) by Statistical Methods
Autor: Ali et al, Fathala
Assuntos: Content Based Image Retrieval, Histogram statistical characteristics,Test of- T, Trademark Image Retrieval
É parte de: Majallat Baghdād lil-ʻulūm, , Vol.17 (2(SI)), p.694
Descrição: 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.
Editor: College of Science for Women, University of Baghdad
Idioma: Inglês;Árabe

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