Maximal multi-channel local binary pattern with colour information for CBIR

ER Vimina, MO Divya - Multimedia Tools and Applications, 2020 - Springer
Abstract Content Based Image Retrieval (CBIR) focuses on retrieving images from
repositories based on visual features extracted from the images. Texture and colour are one …

Deep features based medical image retrieval

NB Mohite, AB Gonde - Multimedia Tools and Applications, 2022 - Springer
In this paper, deep convolutional neural network model is developed for classification and
image retrieval purpose. Deep learning techniques obtained deep features from different …

An enhanced texture-based feature extraction approach for classification of biomedical images of CT-scan of lungs

V Srivastava, S Gupta, G Chaudhary, A Balodi, M Khari… - 2021 - reunir.unir.net
Content Based Image Retrieval (CBIR) techniques based on texture have gained a lot of
popularity in recent times. In the proposed work, a feature vector is obtained by …

Local energy oriented pattern for image indexing and retrieval

GM Galshetwar, LM Waghmare, AB Gonde… - Journal of Visual …, 2019 - Elsevier
A novel image indexing algorithm for Content Based Image Retrieval (CBIR) using Local
Energy Oriented Patterns (LEOP) is proposed in this paper. LEOP encodes pixel level …

Big Data-Driven Feature Extraction and Clustering Based on Statistical Methods.

VR Maddumala - Traitement du Signal, 2020 - search.ebscohost.com
Big data-driven feature extraction is a challenging process because it contains a variety and
voluminous of data. But, in the current scenario of the Internet and the multimedia datadriven …

Detection of exudates from clinical fundus images using machine learning algorithms in diabetic maculopathy

SN Sangeethaa, S Jothimani - International Journal of Diabetes in …, 2022 - Springer
Purpose of the study As per the estimation of the World Health Organization, around
400,000,000 people may be affected by diabetes in the year 2014. It is rapidly increasing …

Adaptive tetrolet based color, texture and shape feature extraction for content based image retrieval application

S Kumar, J Pradhan, AK Pal - Multimedia Tools and Applications, 2021 - Springer
The performance of any content-based image retrieval (CBIR) system depends on the
quality and importance of the extracted features. Those extracted features like texture …

Comparison between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval

M Sotoodeh, A Kohan, M Roshanzamir… - IEEE …, 2024 - ieeexplore.ieee.org
In recent years, color Local Binary Pattern (LBP) based descriptors have garnered
substantial attention in computer vision and image analysis. This study presents a …

Computer-aided diabetic retinopathy diagnostic model using optimal thresholding merged with neural network

AS Jadhav, PB Patil, S Biradar - International Journal of Intelligent …, 2020 - emerald.com
Purpose Diabetic retinopathy (DR) is a central root of blindness all over the world. Though
DR is tough to diagnose in starting stages, and the detection procedure might be time …

LVP extraction and triplet-based segmentation for diabetic retinopathy recognition

SN Randive, AD Rahulkar, RK Senapati - Evolutionary Intelligence, 2018 - Springer
Till now, the detection of diabetic retinopathy seems to be one of the sensitive research
topics since it is related to health care of any individual. A number of contributions in terms of …