Results 1 to 10 of about 6,778 (208)
Content Based Image Retrieval (CBIR) by Statistical Methods
مجلة 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 +3 more sources
AI powered multi feature fusion framework for retrieving images using color, texture and shape descriptors [PDF]
Scientific ReportsThe 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]
Scientific ReportsContent-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]
Scientific ReportsApplications 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]
European Radiology ExperimentalBackground 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]
DiagnosticsBackground/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
Cross-modality sub-image retrieval using contrastive multimodal image representations [PDF]
Scientific ReportsIn tissue characterization and cancer diagnostics, multimodal imaging has emerged as a powerful technique. Thanks to computational advances, large datasets can be exploited to discover patterns in pathologies and improve diagnosis. However, this requires
Eva Breznik +3 more
doaj +2 more sources
Wasit Journal of Computer and Mathematics Science, 2023 The content-based image retrieval (CBIR) method operates on the low-level visual features of the user input query object, which makes it difficult for users to formulate the query and also does not provide adequate retrieval results.
Rohit Sharma, Bipin Rai, Shubham Sharma
doaj +1 more source
COMPARISON STUDY BETWEEN IMAGE RETRIEVAL METHODS
Iraqi Journal of Information & Communication Technology, 2022 Searching for a relevant image in an archive is a problematic research issue for the computer vision research community. The majority of search engines retrieve images using traditional text-based approaches that rely on captions and metadata. Extensive
Zahraa H. Al-Obaide, Ayad A. Al-Ani
doaj +1 more source
JMIR Dermatology, 2023 BackgroundPrevious research studies have demonstrated that medical content image retrieval can play an important role by assisting dermatologists in skin lesion diagnosis. However, current state-of-the-art approaches have not been
Mathias Gassner +15 more
doaj +1 more source