[HTML][HTML] Artificial intelligence for visually impaired
J Wang, S Wang, Y Zhang - Displays, 2023 - Elsevier
The eyes are an essential tool for human observation and perception of the world, helping
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
Review on content-based image retrieval models for efficient feature extraction for data analysis
RB Devareddi, A Srikrishna - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Recent advances in multimedia tools and the explosion of online image archives have
prompted numerous studies on efficiently retrieving and managing visual data. All kinds of …
prompted numerous studies on efficiently retrieving and managing visual data. All kinds of …
A novel content-based image retrieval system with feature descriptor integration and accuracy noise reduction
Efficient algorithms, intelligent approaches, and intensive use of computers are crucial to
extracting reliable information from large-scale data sets. It is the case, for example, in …
extracting reliable information from large-scale data sets. It is the case, for example, in …
A Mapping Approach for Eucalyptus Plantations Canopy and Single-Tree Using High-Resolution Satellite Images in Liuzhou, China
S Zhang, Y Cui, Y Zhou, J Dong, W Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate canopy and single-tree mapping is important to obtain information on the
ecological structure and biogeophysical parameters for forests. Although some airborne …
ecological structure and biogeophysical parameters for forests. Although some airborne …
Optimized quaternion radial Hahn Moments application to deep learning for the classification of diabetic retinopathy
This paper proposes a new hybrid method of classification of fundus images provided by the
Asia–Pacific Tele-Ophthalmology Society via combining the discrete moment quaternion …
Asia–Pacific Tele-Ophthalmology Society via combining the discrete moment quaternion …
Content-based image retrieval using handcraft feature fusion in semantic pyramid
The main challenge of image retrieval systems is to retrieve similar samples in a way that
can be interpreted in a semantic relationship with the user's query image. In recent years …
can be interpreted in a semantic relationship with the user's query image. In recent years …
RefinerHash: a new hashing-based re-ranking technique for image retrieval
Re-ranking is a task of refining an initially ranked list of images obtained from an image
retrieval technique for a given query image, with the goal of enhancing retrieval performance …
retrieval technique for a given query image, with the goal of enhancing retrieval performance …
An Effective Hybrid Framework Based on Combination of Color and Texture Features for Content-Based Image Retrieval
FA Alghamdi - Arabian Journal for Science and Engineering, 2024 - Springer
Abstract In Content-Based Image Retrieval (CBIR) system image representation is a vital
function. In the CBIR method, shape, texture, and color features are employed to represent …
function. In the CBIR method, shape, texture, and color features are employed to represent …
Image retrieval using neural networks for word image spotting—a review
Since the emergence of the Internet and low-cost digital image sensors, the number of
image databases has grown tremendously. These image databases must have efficient …
image databases has grown tremendously. These image databases must have efficient …
A deep image retrieval network using Max-m-Min pooling and morphological feature generating residual blocks
The textural and structural information contained in the images is very important for
generating highly discriminative features for the task of image retrieval. Morphological …
generating highly discriminative features for the task of image retrieval. Morphological …