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Content-based image retrieval: A review of recent trends
With the availability of internet technology and the low-cost of digital image sensor,
enormous amount of image databases have been created in different kind of applications …
enormous amount of image databases have been created in different kind of applications …
Interactive Biogeography Particle Swarm Optimization for Content Based Image Retrieval
D Dubey, GS Tomar - Wireless Personal Communications, 2019 - Springer
In this paper, we propose biogeography particle swarm optimization (BPSO) approach for
content based image retrieval using low-level features like color and texture. This approach …
content based image retrieval using low-level features like color and texture. This approach …
A survey of feature extraction for content-based image retrieval system
N Ghosh, S Agrawal, M Motwani - Proceedings of International Conference …, 2018 - Springer
Content-based image retrieval system (CBIR) is a challenging domain which is used in
various fields of research today, such as scientific research, medical, Internet, and other …
various fields of research today, such as scientific research, medical, Internet, and other …
[PDF][PDF] Content-based image retrieval using HSV color space features
In this paper, a method is provided for content-based image retrieval. Content-based image
retrieval system searches query an image based on its visual content in an image database …
retrieval system searches query an image based on its visual content in an image database …
Hybrid descriptor definition for content based image classification using fusion of handcrafted features to convolutional neural network features
The efficacy of content-based image classification is dependent on the richness of the
feature vectors extracted from the image data. Traditional feature extraction techniques …
feature vectors extracted from the image data. Traditional feature extraction techniques …
Content-based image retrieval using color difference histogram in image textures
A Ajam, M Forghani, MM AlyanNezhadi… - 2019 5th Iranian …, 2019 - ieeexplore.ieee.org
The aim of content-based image retrieval system is finding similar images to the query
image from a database based on its visual content. In this paper, a novel retrieval system …
image from a database based on its visual content. In this paper, a novel retrieval system …
Fast discrete curvelet transform and HSV color features for batik image clansificotlon
Batik is one of the cultural heritages in Indonesia. Batik has many types spread around
Indonesia. Related to the diversity of batik, an effort to develop a database to preserve batik …
Indonesia. Related to the diversity of batik, an effort to develop a database to preserve batik …
Fractal-based texture and HSV color features for fabric image retrieval
Wide range of products such as clothing, bed linen, curtains, and shoes, use fabrics as main
raw material. Fabrics have various types of materials, colors and patterns. Harmony in …
raw material. Fabrics have various types of materials, colors and patterns. Harmony in …
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 …
[HTML][HTML] 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 …