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[PDF][PDF] An overview of content-based image retrieval methods and techniques
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 …
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RETRACTED ARTICLE: Analytic hierarchy process-based automatic feature weight assignment method for content-based satellite image retrieval system
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 …
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
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 …
task. Due to improper diagnosis, required medical treatment may be skipped. Proper …
Batik Images Retrieval Using Pre-trained model and K-Nearest Neighbor
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 …
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 …
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 …
content‐based image retrieval, many studies have combined color, texture, and shape …
DarwinGSE: Towards better image retrieval systems for intellectual property datasets
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 …
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
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 …
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
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 …
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
Graphical Search Engines are conceptually used in many development areas surrounding
information retrieval systems that aim to provide a visual representation of results, typically …
information retrieval systems that aim to provide a visual representation of results, typically …