[PDF][PDF] An overview of content-based image retrieval methods and techniques

MH Hadid, QM Hussein, ZT Al-Qaysi, MA Ahmed… - Iraqi Journal For …, 2023 - iasj.net
Numerous devices for image capture have emerged in the digital environment of the present
day. Using image processing techniques, it is now easier than ever to store a large number …

RETRACTED ARTICLE: Analytic hierarchy process-based automatic feature weight assignment method for content-based satellite image retrieval system

NK Rout, MK Ahirwal, M Atulkar - Soft Computing, 2023 - Springer
The exploratory research highlights the enhancement of image recognition used in many
emergency applications. Due to high demand of satellite images in many application areas …

Content-Based Medical Image Retrieval System for Skin Melanoma Diagnosis Based on Optimized Pair-Wise Comparison Approach

NK Rout, MK Ahirwal, M Atulkar - Journal of Digital Imaging, 2023 - Springer
Medical image analysis for perfect diagnosis of disease has become a very challenging
task. Due to improper diagnosis, required medical treatment may be skipped. Proper …

Batik Images Retrieval Using Pre-trained model and K-Nearest Neighbor

AE Minarno, MY Hasanuddin, Y Azhar - JOIV: International Journal on …, 2023 - joiv.org
Batik is an Indonesian cultural heritage that should be preserved. Over time, many batik
motifs have sprung up, which can lead to mutual claims between craftsmen. Therefore, it is …

Neighborhood ternary co-occurrence for natural and texture image retrieval

M Agarwal - International Journal of Information Technology, 2023 - Springer
In the today's digital scenario, everything is turning into digital. It is due to the ease in access
and storing of digital media. But it also creates complexity in searching particular image from …

Content‐based image retrieval using a fusion of global and local features

HH Bu, NC Kim, SH Kim - ETRI Journal, 2023 - Wiley Online Library
Color, texture, and shape act as important information for images in human recognition. For
content‐based image retrieval, many studies have combined color, texture, and shape …

DarwinGSE: Towards better image retrieval systems for intellectual property datasets

J António, J Valente, C Mora, A Almeida, S Jardim - Plos one, 2024 - journals.plos.org
A trademark's image is usually the first type of indirect contact between a consumer and a
product or a service. Companies rely on graphical trademarks as a symbol of quality and …

A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases

V Kittichai, M Kaewthamasorn, A Arnuphaprasert… - Journal of Big Data, 2025 - Springer
Anaplasmosis, which is caused by Anaplasma spp. and transmitted by tick bites, is one of
the most serious livestock animal diseases worldwide, causing significant economic losses …

An optimized pair-wise comparison approach for automated feature weight assignment in content-based image retrieval system

NK Rout, MK Ahirwal, M Atulkar - Multimedia Tools and Applications, 2024 - Springer
A content-based image retrieval system (CBIR) needs intensity/weighted importance for
individual features of an image to find similar images in the database to achieve better …

A novel trademark image retrieval system based on multi-feature extraction and deep networks

S Jardim, J António, C Mora, A Almeida - Journal of imaging, 2022 - mdpi.com
Graphical Search Engines are conceptually used in many development areas surrounding
information retrieval systems that aim to provide a visual representation of results, typically …