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Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3677-9
Abstract: Measures of components in digital images are expanded and to locate a specific image in the light of substance from a huge database is sometimes troublesome. In this paper, a content-based image retrieval (CBIR) system…
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Keywords:
based image;
image;
content based;
feature ... See more keywords
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1
Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05017-z
Abstract: This paper presents a content-based image retrieval technique that focuses on extraction and reduction in multiple features. To obtain multi-level decomposition of the image by extracting approximation and correct coefficients, discrete wavelet transformation is applied…
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Keywords:
based image;
image;
content based;
classification ... See more keywords
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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05614-y
Abstract: Content-based image retrieval is the process of retrieving images similar to the Query Image. The task of finding the dissimilarity among the different objects is the primary challenge in the content-based retrieval system. The challenge…
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Keywords:
based image;
image;
content based;
image retrieval ... See more keywords
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Published in 2019 at "Multimedia Systems"
DOI: 10.1007/s00530-019-00613-z
Abstract: With advancement of various information processing and storage techniques, the scale of digital music collections has been growing at very fast speed during recent decades. To support high-quality content-based retrieval over such a large volume…
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Keywords:
content based;
indexing structure;
indexing;
music retrieval ... See more keywords
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2
Published in 2020 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-020-00338-w
Abstract: The main problem in content-based image retrieval (CBIR) systems is the semantic gap which needs to be reduced for efficient retrieval. The common imaging signs (CISs) which appear in the patient’s lung CT scan play…
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Keywords:
image;
content based;
system;
retrieval ... See more keywords
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Published in 2017 at "Journal of Medical Systems"
DOI: 10.1007/s10916-017-0874-5
Abstract: Similarity measurement of lung nodules is a critical component in content-based image retrieval (CBIR), which can be useful in differentiating between benign and malignant lung nodules on computer tomography (CT). This paper proposes a new…
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Keywords:
based image;
content based;
similarity;
nodule ... See more keywords
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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6708-8
Abstract: Content Based Image retrieval systems (CBIR) retrieve the image features from the massive databases using the retrival set [ 15 ]. The Extracted image set will be maintained in a secured repository to enhance the…
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Keywords:
based image;
image;
content based;
image retrieval ... See more keywords
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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09292-9
Abstract: Given the great success of Convolutional Neural Network (CNN) for image representation and classification tasks, we argue that Content-Based Image Retrieval (CBIR) systems could also leverage on CNN capabilities, mainly when Relevance Feedback (RF) mechanisms…
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Keywords:
based image;
image;
content based;
image retrieval ... See more keywords
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Published in 2018 at "Scientometrics"
DOI: 10.1007/s11192-018-2961-x
Abstract: Citations play a pivotal role in indicating various aspects of scientific literature. Quantitative citation analysis approaches have been used over the decades to measure the impact factor of journals, to rank researchers or institutions, to…
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Keywords:
important citations;
research;
content based;
content ... See more keywords
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Published in 2017 at "International Journal of Multimedia Information Retrieval"
DOI: 10.1007/s13735-017-0135-x
Abstract: Medical imaging performs a vital role in the medical field as it provides important information on the internal body parts for the clinical analysis and medical intervention which enables physicians to diagnose and treat a…
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Keywords:
image;
content based;
retrieval;
image retrieval ... See more keywords
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Published in 2018 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2017.09.003
Abstract: Abstract In this paper, automated, fast and effective content based-mammogram image retrieval system is proposed. The proposed pre-processing steps include automatic labelling-scratches suppression, automatic pectoral muscle removal and image enhancement. Further, for segmentation selective thresholds…
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Keywords:
content based;
retrieval;
based mammogram;
content ... See more keywords