Remote sensing image classification: A comprehensive review and applications

M Mehmood, A Shahzad, B Zafar… - Mathematical …, 2022 - Wiley Online Library
Remote sensing is mainly used to investigate sites of dams, bridges, and pipelines to locate
construction materials and provide detailed geographic information. In remote sensing …

Content-based image retrieval: A review of recent trends

IM Hameed, SH Abdulhussain… - Cogent Engineering, 2021 - Taylor & Francis
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 …

[HTML][HTML] A survey on fish classification techniques

MK Alsmadi, I Almarashdeh - Journal of King Saud University-Computer …, 2022 - Elsevier
Fish classification (FC) is an expansively studied problem in the domains of image
segmentation, pattern recognition, and information retrieval. It has been applied in a …

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 …

[Retracted] Effective CBMIR System Using Hybrid Features‐Based Independent Condensed Nearest Neighbor Model

HD Praveena, NS Guptha… - Journal of …, 2022 - Wiley Online Library
In recent times, a large number of medical images are generated, due to the evolution of
digital imaging modalities and computer vision application. Due to variation in the shape …

Deep learned vectors' formation using auto-correlation, scaling, and derivations with CNN for complex and huge image retrieval

A Naeem, T Anees, KT Ahmed, RA Naqvi… - Complex & Intelligent …, 2023 - Springer
Deep learning for image retrieval has been used in this era, but image retrieval with the
highest accuracy is the biggest challenge, which still lacks auto-correlation for feature …

Styleclipdraw: Coupling content and style in text-to-drawing translation

P Schaldenbrand, Z Liu, J Oh - arXiv preprint arXiv:2202.12362, 2022 - arxiv.org
Generating images that fit a given text description using machine learning has improved
greatly with the release of technologies such as the CLIP image-text encoder model; …

Class-driven content-based medical image retrieval using hash codes of deep features

Ş Öztürk - Biomedical Signal Processing and Control, 2021 - Elsevier
Medical imaging provides the convenience of physicians to analyze the disease by
providing visual data of the body parts required for clinical research and treatment. Today …

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 …

Combination of dominant color descriptor and Hu moments in consistent zone for content based image retrieval

G Xie, B Guo, Z Huang, Y Zheng, Y Yan - IEEE Access, 2020 - ieeexplore.ieee.org
The rapidly increasing number of digital images requires effective retrieval. Meanwhile, the
dominant color descriptor has been widely used in image processing. Due to the influence …