Content Based Image Retrieval (CBIR) by Statistical Methods

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 visua...

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Main Author: Fathala Ali et al.
Format: Article
Language:Arabic
Published: College of Science for Women, University of Baghdad 2020-06-01
Series:Baghdad Science Journal
Subjects:
Online Access:http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4212
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author Fathala Ali et al.
author_facet Fathala Ali et al.
author_sort Fathala Ali et al.
collection DOAJ
description 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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spelling doaj.art-3f6ef4759ffe453eb9d30494477d404b2022-12-21T21:04:36ZaraCollege of Science for Women, University of BaghdadBaghdad Science Journal2078-86652411-79862020-06-01172(SI)10.21123/bsj.2020.17.2(SI).0694Content Based Image Retrieval (CBIR) by Statistical MethodsFathala Ali et al.0Al-Mustansiriya UniversityAn 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.http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4212Content Based Image Retrieval, Histogram statistical characteristics,Test of- T, Trademark Image Retrieval
spellingShingle Fathala Ali et al.
Content Based Image Retrieval (CBIR) by Statistical Methods
Baghdad Science Journal
Content Based Image Retrieval, Histogram statistical characteristics,Test of- T, Trademark Image Retrieval
title Content Based Image Retrieval (CBIR) by Statistical Methods
title_full Content Based Image Retrieval (CBIR) by Statistical Methods
title_fullStr Content Based Image Retrieval (CBIR) by Statistical Methods
title_full_unstemmed Content Based Image Retrieval (CBIR) by Statistical Methods
title_short Content Based Image Retrieval (CBIR) by Statistical Methods
title_sort content based image retrieval cbir by statistical methods
topic Content Based Image Retrieval, Histogram statistical characteristics,Test of- T, Trademark Image Retrieval
url http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4212
work_keys_str_mv AT fathalaalietal contentbasedimageretrievalcbirbystatisticalmethods