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Content Based Image Retrieval (CBIR) by Statistical Methods

open access: yesمجلة بغداد للعلوم, 2020
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,
Fathala Ali et al.
doaj   +2 more sources

New Approach on the Techniques of Content-Based Image Retrieval (CBIR) Using Color, Texture and Shape Features

open access: yesJournal of Materials Science and Chemical Engineering, 2021
Digital image collection as rapidly increased along with the development of computer network. Image retrieval system was developed purposely to provide an efficient tool for a set of images from a collection of images in the database that matches the ...
M. Shukran, M. Abdullah, M. Yunus
exaly   +2 more sources

An Overview of Content-Based Image Retrieval Methods and Techniques

open access: yesIraqi Journal for Computer Science and Mathematics, 2023
With the development of Internet technology and the popularity of digital devices, Content-Based Image Retrieval (CBIR) has been quickly developed and applied in various fields related to computer vision and artificial intelligence.
M.H.Hadid   +4 more
doaj   +2 more sources

A Novel Hybrid Approach for a Content-Based Image Retrieval Using Feature Fusion

open access: yesApplied Sciences, 2023
The multimedia content generated by devices and image processing techniques requires high computation costs to retrieve images similar to the user’s query from the database.
Shahbaz Sikandar   +2 more
doaj   +2 more sources

AI powered multi feature fusion framework for retrieving images using color, texture and shape descriptors [PDF]

open access: yesScientific Reports
The exponential expansion of digital visual material requires sophisticated and efficient picture retrieval technologies. The article presents a new framework using AI to integrate form descriptors, texture patterns, and color histograms to improve ...
Kommu Naveen, R. M. S. Parvathi
doaj   +2 more sources

Entropy guided multi level feature fusion network for high precision content based image retrieval [PDF]

open access: yesScientific Reports
Content-based image retrieval (CBIR) is essential for managing and searching massive image repositories across a wide variety of applications. Nevertheless, some traditional CBIR systems exhibit low retrieval accuracy because they use predetermined ...
M. Lavanya   +3 more
doaj   +2 more sources

Convolutional Fine-Tuned Threshold Adaboost approach for effectual content-based image retrieval [PDF]

open access: yesScientific Reports
Applications for content-based image retrieval (CBIR) are found in a wide range of industries, including e-commerce, multimedia, and healthcare. CBIR is essential for organising and obtaining visual data from massive databases.
Robert Cep   +4 more
doaj   +2 more sources

Evaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases [PDF]

open access: yesEuropean Radiology Experimental
Background This retrospective study aims to evaluate the impact of a content-based image retrieval (CBIR) application on diagnostic accuracy and confidence in interstitial lung disease (ILD) assessment using high-resolution computed tomography CT (HRCT).
Benjamin Böttcher   +7 more
doaj   +2 more sources

Content-Based Image Retrieval and Image Classification System for Early Prediction of Bladder Cancer [PDF]

open access: yesDiagnostics
Background/Objectives: Bladder cancer is a type of cancer that begins in the cells lining the inner surface of the bladder. Although it usually begins in the bladder, it can spread to surrounding tissues, lymph nodes, and other organs in later stages ...
Muhammed Yildirim
doaj   +2 more sources

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