Content based image retrieval using image features information fusion
KT Ahmed, S Ummesafi, A Iqbal - Information Fusion, 2019 - Elsevier
Recent image retrieval techniques are focusing on multiple image features for the efficient
image retrieval. It has been an inevitable requirement to fetch the images from a variety of …
image retrieval. It has been an inevitable requirement to fetch the images from a variety of …
Essentiality for bridging the gap between low and semantic level features in image retrieval systems: an overview
LR Nair, K Subramaniam… - Journal of Ambient …, 2021 - Springer
The modern world uses digital data invariably and the advent of smart phones and cameras
add to images and communicating through images in social media is a very common …
add to images and communicating through images in social media is a very common …
An image retrieval system using deep learning to extract high-level features
The usual procedure used in Content Based Image retrieval (CBIR), is to extract some useful
low-level features such as color, texture and shape from the query image and retrieve …
low-level features such as color, texture and shape from the query image and retrieve …
Investigations on segmentation-based fractal texture for texture classification in the presence of Gaussian noise
Texture is a significant component used for several applications in content-based image
retrieval. Any texture classification method aims to map an anonymously textured input …
retrieval. Any texture classification method aims to map an anonymously textured input …
Content‐based image retrieval using color and a novel texture descriptor: orientational‐based local binary pattern
N Baarab, BELK Chaouki… - … : Practice and Experience, 2022 - Wiley Online Library
The increasing use of images and multimedia has led, in the past years, to a major growth of
data and images to store. With this, comes the importance of having a way to facilitate the …
data and images to store. With this, comes the importance of having a way to facilitate the …
RETRACTED ARTICLE: Fuzzy Markov chain latent space probabilistic decision-making for feature optimization in content-based image recognition
Abstract Content-Based Image Retrieval (CBIR) systems use a group of preset and
predefined parameters for their configuration. However, in machine learning methods …
predefined parameters for their configuration. However, in machine learning methods …
Semantic-based image retrieval using hierarchical clustering and neighbor graph
In this paper, a data partitioning method was built and applied to a model of semantic-based
image retrieval. An improvement of data partitioning based on the hierarchical structure is …
image retrieval. An improvement of data partitioning based on the hierarchical structure is …
A competent and novel approach of designing an intelligent image retrieval system
A prominent technique used to search imperceptible images from any vast repository is
denoted by Content based image retrieval (CBIR) system. The most eminent features of …
denoted by Content based image retrieval (CBIR) system. The most eminent features of …
Review of the application of machine learning to the automatic semantic annotation of images
The massive amount of digital content generated daily in the modern world has created the
need for an image retrieval system built on image analysis via image processing and …
need for an image retrieval system built on image analysis via image processing and …
Content-based image retrieval using deep convolution neural network
Use of computationally expensive Neural Network for processing huge amount of data is
increased in recent past. Deep Convolution Neural Network is widely used by researchers to …
increased in recent past. Deep Convolution Neural Network is widely used by researchers to …