Results 91 to 100 of about 4,998 (209)
Review article: Measuring disease severity in inflammatory bowel disease – Beyond treat to target
Alimentary Pharmacology &Therapeutics, Volume 60, Issue 9, Page 1176-1199, November 2024.Measuring disease severity in inflammatory bowel disease requires the consideration of multiple factors that contribute to the overall burden of illness. This may provide a more holistic disease assessment than measuring activity alone at a moment in time.
Akhilesh Swaminathan +5 more
wiley +1 more source
An Appraisal of Content-Based Image Retrieval (CBIR) Methods
, 2019 Background: Content Based Image Retrieval (CBIR) is an aspect of computer vision and image processing that finds images that are similar to a given query image in a large scale database using the visual contents of images such as colour, texture, shape ...
Olaleke, J. O. +3 more
core +1 more source
The New Notion Distance of Content Based Image Retrieval (Cbir) [PDF]
, 2010 This paper proposes a new notion distance on the CBIR process whichis derived from the measure of multivariate dispersion called vector variance (VV).The minimum vector variance (MVV) estimator is robust estimator having the highbreakdown point. The CBIR
Isa, S. M. (Sani) +2 more
core +2 more sources
Handle local optimum traps in CBIR systems
, 2008 Existing CBIR systems, designed around query refinement based on relevance feedback, suffer from local optimum traps. That is, when the user is examining a relevant cluster surrounded by less relevant images, essentially the same set of images will be ...
Danzhou Liu +5 more
core +1 more source
CBIR with RF: Which technique for which image
, 2013 In the current decade, we are witnessing a great interest in Content Based Image Retrieval (CBIR) together with a wealth of promising technologies, paved for a large number of new mechanisms and systems. In terms of mechanisms, a strong trend towards the
Mostefai, Sihem +3 more
core +1 more source
مهندسی مخابرات جنوبA novel framework of feature generation for Content based image retrieval (CBIR) is proposed. This system is realized on Cyclic transform Analysis (CTA). It introduces statistical descriptors in the signals frequency domain.
Shahin Shafei +3 more
doaj
Use of Deep Learning in Content-Based Image Retrieval (CBIR) [PDF]
In the world of computer vision and data retrieval, a crucial task is finding images within a database based on their visual content. This is known as content-based image retrieval (CBIR).
Das, Angelina
core +1 more source
A secure encrypted CBIR and explainable hybrid deep learning framework for clothing recommendation
Discover Applied SciencesThe traditional CBIR systems that are heavily dependent on low, level features of the image for information retrieval have been criticized for low accuracy and low transparency. As per the latest requirements, such systems need to be equipped with models
Akanksha Mrinali +6 more
doaj +1 more source
A Content-Based Image Retrieval Scheme Using an Encrypted Difference Histogram in Cloud Computing
Information, 2017 Content-based image retrieval (CBIR) has been widely used in many applications. Large storage and computation overheads have made the outsourcing of CBIR services attractive.
Dandan Liu +3 more
doaj +1 more source
International Journal of Computer Applications, 2012 CBIR system focuses on retrieving images from the database; the system depends on the way the indexing is being implemented. The way or method in which an image is stored will affect how it will be retrieved later and which can save more storage space and improve the retrieval process.
B. D. Shinde +2 more
openaire +1 more source