Content‐Based Image Retrieval and Feature Extraction: A Comprehensive Review

A Latif, A Rasheed, U Sajid, J Ahmed… - Mathematical …, 2019 - Wiley Online Library
Multimedia content analysis is applied in different real‐world computer vision applications,
and digital images constitute a major part of multimedia data. In last few years, the …

A review on content-based image retrieval system: Present trends and future challenges

NK Rout, M Atulkar, MK Ahirwal - International Journal of …, 2021 - inderscienceonline.com
The issues of getting similar images with better accuracy is now a challenge in content-
based image retrieval (CBIR) system due to exponential rising volume of image databases …

[HTML][HTML] Soil texture classification using multi class support vector machine

U Barman, RD Choudhury - Information processing in agriculture, 2020 - Elsevier
The objective of this study is to process the soil images to generate a digital soil
classification system for rural farmers at low cost. Soil texture is the main factor to be …

Semi‐automatic leaf disease detection and classification system for soybean culture

S Kaur, S Pandey, S Goel - IET Image Processing, 2018 - Wiley Online Library
Development of automatic disease detection and classification system is significantly
explored in precision agriculture. In the past few decades, researchers have studied several …

Content based image retrieval based on weighted fusion of texture and color features derived from modified local binary patterns and local neighborhood difference …

N Kayhan, S Fekri-Ershad - Multimedia Tools and Applications, 2021 - Springer
Today, large amount of data are stored in image format. Content based image retrieval from
bulk databases has become an interesting research topic in last decade. Most of the recent …

Opposition-based moth-flame optimization improved by differential evolution for feature selection

M Abd Elaziz, AA Ewees, RA Ibrahim, S Lu - Mathematics and Computers in …, 2020 - Elsevier
This paper provides an alternative method for creating an optimal subset from features
which in turn represent the whole features through improving the moth-flame optimization …

Improve the efficiency of handcrafted features in image retrieval by adding selected feature generating layers of deep convolutional neural networks

G Shamsipour, S Fekri-Ershad, M Sharifi… - Signal, image and video …, 2024 - Springer
Today, with the rapid growth of communication technology and the development of social
networks and smartphones, the amount of data stored by users in the form of images has …

An efficient image retrieval framework using fused information feature

MIT Bella, A Vasuki - Computers & Electrical Engineering, 2019 - Elsevier
The tremendous growth in the number of digital images has provoked the need for
improvement in search and retrieval of images from a large database. The biggest challenge …

Image retrieval scheme using quantized bins of color image components and adaptive tetrolet transform

N Varish, AK Pal, R Hassan, MK Hasan, A Khan… - IEEE …, 2020 - ieeexplore.ieee.org
In this paper, a three stage hierarchical image retrieval scheme using a color, texture and
shape visual contents (or descriptors) is proposed, since single visual content is not produce …

[HTML][HTML] A novel hybrid approach for a content-based image retrieval using feature fusion

S Sikandar, R Mahum, AM Alsalman - Applied Sciences, 2023 - mdpi.com
The multimedia content generated by devices and image processing techniques requires
high computation costs to retrieve images similar to the user's query from the database. An …