Results 21 to 30 of about 2,978 (220)
Similarity evaluation in a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images. [PDF]
Med Phys, 2011 Cho HC +6 more
europepmc +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
An Overview of Content-Based Image Retrieval Methods and Techniques
Iraqi 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 +1 more source
Content-based medical image retrieval by spatial matching of visual words
Journal of King Saud University: Computer and Information Sciences, 2022 Content-Based Image Retrieval (CBIR) systems have recently emerged as one of the most promising and best image retrieval paradigms. To pacify the semantic gap associated with CBIR systems, the Bag of Visual Words (BoVW) techniques are now increasingly ...
P. Shamna +2 more
doaj +1 more source
IET Image Processing, Volume 17, Issue 9, Page 2748-2763, 20 July 2023., 2023 Two models are proposed to extract the global representations of the images for image retrieval, and these models are able to perform a single‐stage search. This is meaningful because the speed of retrieval is faster and the extracted image features occupy less storage footprint. Abstract Content‐based image retrieval (CBIR) is the problem of searching
Jinliang Yao +3 more
wiley +1 more source
Transfer learning data adaptation using conflation of low‐level textural features
Engineering Reports, Volume 5, Issue 5, May 2023., 2023 Adapting the target dataset for a pre‐trained model is still challenging due to poor source knowledge transfer in the target domain. This paper introduces the conflation of low‐level textural features in the source and target domains of the pretrained model allowing the selection of a higher quality target dataset for improved pre‐trained model ...
Raphael Ngigi Wanjiku +2 more
wiley +1 more source
Applying Intuitionistic Fuzzy Sets to Improve Fuzzy Content-based Image Retrieval Systems [PDF]
Journal of Artificial Intelligence and Data MiningVisual features extracted from images in content-based image retrieval systems are inherently ambiguous. Consequently, applying fuzzy sets for image indexing in image retrieval systems has improved efficiency. In this article, the intuitionistic fuzzy sets
Monireh Azimi Hemat +2 more
doaj +1 more source
Scientific Programming, Volume 2023, Issue 1, 2023., 2023 Due to the rapid development of image data and the necessity to analyze it to extract meaningful information, heterogeneous systems have gained prominence. One of the most critical aspects of distributed systems is load balancing. When it comes to the distribution of workload in a balanced manner in a cluster, some heterogeneous systems are used for ...
Najia Naz +5 more
wiley +1 more source