Fully convolutional networks for fluid segmentation in retina images
Retinal diseases can be manifested in optical coherence tomography (OCT) images since
many signs of retina abnormalities are visible in OCT. Fluid regions can reveal the signs of …
many signs of retina abnormalities are visible in OCT. Fluid regions can reveal the signs of …
Content-based image retrieval speedup based on optimized combination of wavelet and zernike features using particle swarm optimization algorithm
This paper presents a novel method to speedup content-based image retrieval (CBIR)
systems. The proposed method can be very useful for retrieving images from a large …
systems. The proposed method can be very useful for retrieving images from a large …
Efficient Image Retrieval Using Hierarchical K-Means Clustering
D Park, Y Hwang - Sensors, 2024 - mdpi.com
The objective of content-based image retrieval (CBIR) is to locate samples from a database
that are akin to a query, relying on the content embedded within the images. A contemporary …
that are akin to a query, relying on the content embedded within the images. A contemporary …
An efficient texture descriptor based on local patterns and particle swarm optimization algorithm for face recognition
Face recognition is used in many applications such as access control, automobile security,
criminal identification, immigration, healthcare, cyber security, and so on. Each person has …
criminal identification, immigration, healthcare, cyber security, and so on. Each person has …
Image retrieval based on auto-encoder and clustering with centroid update
K Nalini Sujantha Bel, IS Sam - The Computer Journal, 2024 - academic.oup.com
This paper suggests a revolutionary deep learning method using a dynamic deep auto-
encoder for improving the performance of indexing the feature vectors of images by centroid …
encoder for improving the performance of indexing the feature vectors of images by centroid …
New texture descriptor based on improved orthogonal difference local binary pattern
S Fadaei, P Hosseini… - 2023 6th international …, 2023 - ieeexplore.ieee.org
Local descriptor plays an important role in Content-Based Image Retrieval (CBIR) and face
recognition. Almost all local patterns are based on the relationship between neighboring …
recognition. Almost all local patterns are based on the relationship between neighboring …
Fluid segmentation in neutrosophic domain
Optical coherence tomography (OCT) as retina imaging technology is currently used by
ophthalmologist as a non-invasive and non-contact method for diagnosis of age-related …
ophthalmologist as a non-invasive and non-contact method for diagnosis of age-related …
[PDF][PDF] A literature survey on content-based information retrieval
MA Dhaygude, S Kinariwala - J. Comput. Technol.(JCT), 2022 - jctjournals.com
In this survey paper discuss review on content based information retrieval system. For
centuries, images have been regarded as a powerful tool for conveying information visually …
centuries, images have been regarded as a powerful tool for conveying information visually …
An analysis of content-based image retrieval
Nowadays, working on digital images is gaining much popularity in multimedia systems, due
to the rapid increase in the utilization of large image databases. Thus, the Content-Based …
to the rapid increase in the utilization of large image databases. Thus, the Content-Based …
Delver Hamed: Content Based Image Retrieval Using BEIT Transformer and Detic
M Jelveh - Authorea Preprints, 2024 - techrxiv.org
I present DHam, a new and exact unsupervised learning model for Content Based Image
Retrieval (CBIR) that does not need any training data set. DHam is accurate especially when …
Retrieval (CBIR) that does not need any training data set. DHam is accurate especially when …