云南高校图书馆联盟文献共享服务平台- CBIR

CBIR: 作品数：204被引量：588H指数：11; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：赵珊施伯乐周向东耿国华陈剑雄更多>>; 相关机构：吉林大学华南理工大学华中科技大学浙江大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家社会科学基金国家高技术研究发展计划更多>>

Brain Tumor Retrieval in MRI Images with Integration of Optimal Features: 《Journal of Harbin Institute of Technology(New Series)》2024年第6期71-83,共13页N V Shamna B Aziz Musthafa; This paper presents an approach to improve medical image retrieval, particularly for brain tumors, by addressing the gap between low-level visual and high-level perceived contents in MRI, X-ray, and CT scans. Traditio...; 关键词：medical images brain MRI machine learning feature extraction and reduction content-based image retrieval(CBIR)

Design and Implementation of Patient Online Guide System: 《南开大学学报（自然科学版）》2024年第4期37-43,共7页Nada Mohsen Darwish Mohamed Dong Liang Wang Lin Sun Guiling; Supported by the Natural Science Foundation of Tianjin(21JCZDJC00340)。; The design and implementation of an online guide system were presented for patients.The system offers a website that makes it easier for patients,or any ordinary visitor to diagnose their disease by simply uploading t...; 关键词：CBIR DATABASE information retrieval systems wavelet transform

Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study: 《虚拟现实与智能硬件（中英文）》2024年第1期71-81,共11页Mingjian LI Younhyun JUNG Michael FULHAM Jinman KIM; Background A medical content-based image retrieval(CBIR)system is designed to retrieve images from large imaging repositories that are visually similar to a user′s query image.CBIR is widely used in evidence-based di...; 关键词：Volume visualization DVR Medical CBIR RETRIEVAL Medical images

基于内容的图像检索技术研究综述被引量：4: 《软件导刊》2023年第4期229-244,共16页杨慧施水才; 随着互联网、计算机和存储技术飞速发展,数字图像信息日产量呈爆炸式增长。图像检索是计算机视觉领域的热点研究方向,旨在从大规模图像数据库中检索、查询数据视觉或文本相关内容,因此如何从海量数字信息库中快速、准确地检索用户所需...; 关键词：图像检索 CBIR 深度学习特征提取卷积神经网络

An Efficient Deep Learning-based Content-based Image Retrieval Framework被引量：1: 《Computer Systems Science & Engineering》2022年第11期683-700,共18页M.Sivakumar N.M.Saravana Kumar N.Karthikeyan; The use of massive image databases has increased drastically over the few years due to evolution of multimedia technology.Image retrieval has become one of the vital tools in image processing applications.Content-Base...; 关键词：Content based image retrieval(CBIR) improved gray level cooccurrence matrix(GLCM) hierarchal and fuzzy C-means(HFCM)algorithm deep learning based enhanced convolution neural network(DLECNN)

规范着装穿戴智能检测软件设计: 《电子技术与软件工程》2022年第19期25-28,共4页杜雨杨庆雨曹玉颖王红; 沈阳理工大学国家级大学生创新创业训练项目《XX规范着装穿戴智能检测系统》(项目编号:202010144008)。; 本文基于我国呼吸道传染病防控要求,设计了“规范着装穿戴智能检测软件”,并通过部分功能测试及结果的分析,最终验证了本软件的可用性和实用性。采用本软件可实现规范着装智能检测,有效减少了人力的浪费。该软件计划在Windows平台上用Py...; 关键词：WINDOWS平台 OpenCV CBIR 软件设计 LBP HAAR PYTHON语言

Survey on Clustering Techniques for Image Categorization Dataset: 《Journal of Computer and Communications》2022年第6期177-185,共9页Mohd Afizi Mohd Shukran Mohd Sidek Fadhil Mohd Yunus Muhammad Naim Abdullah Mohd Rizal Mohd Isa Mohammad Adib Khairuddin Kamaruzaman Maskat Suhaila Ismail Abdul Samad Shibghatullah; Content Based Image Retrieval, CBIR, performed an automated classification task for a queried image. It could relieve a user from the laborious and time-consuming metadata assigning for an image while working on massi...; 关键词：CATEGORIZATION CBIR CLASSIFICATIONS CLUSTERING DATASET

Content-Based Image Retrieval with Feature Extraction and Rotation Invariance: 《Journal of Computer and Communications》2022年第4期24-31,共8页Nathanael Okoe Larsey Raphael Mawufemor Kofi Ahiaklo-Kuz Joseph Ncube; Over recent years, Convolutional Neural Networks (CNN) has improved performance on practically every image-based task, including Content-Based Image Retrieval (CBIR). Nevertheless, since features of CNN have altered o...; 关键词：Rotation Invariant CBIR Image Orientation Angle Detection Convolutional Neural Network Deep Learning Real-Time CBIR Information Retrieval

Web-based remote sensing image retrieval using multiscale and multidirectional analysis based on Contourlet and Haralick texture features: 《International Journal of Intelligent Computing and Cybernetics》2021年第4期533-549,共17页Rajakumar Krishnan Arunkumar Thangavelu P.Prabhavathy Devulapalli Sudheer Deepak Putrevu Arundhati Misra; Satellite Application Centre partially funds this project,Indian Space Research Organization(ISRO)under the grant No:ISRO/RES/3/789/18-19.The authors are thankful to the agency for supporting this research.; Purpose-Extracting suitable features to represent an image based on its content is a very tedious task.Especially in remote sensing we have high-resolution images with a variety of objects on the Earth’s surface.Maha...; 关键词：Image retrieval Remote sensing CONTOURLET Texture features Web-based search CBIR Multiscale texture

Colour Features Extraction Techniques and Approaches for Content-Based Image Retrieval (CBIR) System: 《Journal of Materials Science and Chemical Engineering》2021年第7期29-34,共6页Muhammad Naim Abdullah Mohd Afizi Mohd Shukran Mohd Rizal Mohd Isa Nor Suraya Mariam Ahmad Mohammad Adib Khairuddin Mohd Sidek Fadhil Mohd Yunus Fatimah Ahmad; An image retrieval system was developed purposely to provide an efficient tool for a set of images from a collection of images in the large database that matches the user’s requireme...; 关键词：Content-Based Image Retrieval Colour Features CBIR

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