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 …

Copy-move forgery detection: A state-of-the-art technical review and analysis

S Teerakanok, T Uehara - IEEE Access, 2019 - ieeexplore.ieee.org
This paper presents the state-of-the-art technical reviews and analysis of recent copy-move
forgery detection (CMFD) techniques. A new CMFD process pipeline was introduced. In …

AI-driven projection tomography with multicore fibre-optic cell rotation

J Sun, B Yang, N Koukourakis, J Guck… - Nature …, 2024 - nature.com
Optical tomography has emerged as a non-invasive imaging method, providing three-
dimensional insights into subcellular structures and thereby enabling a deeper …

New robust method for image copyright protection using histogram features and sine cosine algorithm

A Daoui, H Karmouni, M Sayyouri, H Qjidaa… - Expert Systems with …, 2021 - Elsevier
Zero-watermarking methods are widely used for efficient copyright protection of digital
images. These methods have the ability to withstand both common image processing …

Morphology-Based Identification of Bemisia tabaci Cryptic Species Puparia via Embedded Group-Contrast Convolution Neural Network Analysis

N MacLeod, RJ Canty, A Polaszek - Systematic Biology, 2022 - academic.oup.com
The Bemisia tabaci species complex is a group of tropical–subtropical hemipterans, some
species of which have achieved global distribution over the past 150 years. Several species …

[HTML][HTML] Whole slide image registration via multi-stained feature matching

MZ Hoque, A Keskinarkaus, P Nyberg, T Mattila… - Computers in Biology …, 2022 - Elsevier
In the recent decade, medical image registration and fusion process has emerged as an
effective application to follow up diseases and decide the necessary therapies based on the …

A study on a complex flame and smoke detection method using computer vision detection and convolutional neural network

J Ryu, D Kwak - Fire, 2022 - mdpi.com
This study sought an effective detection method not only for flame but also for the smoke
generated in the event of a fire. To this end, the flame region was pre-processed using the …

Automated segmentation and classification of hand thermal images in rheumatoid arthritis using machine learning algorithms: A comparison with quantum machine …

RK Ahalya, U Snekhalatha, V Dhanraj - Journal of Thermal Biology, 2023 - Elsevier
The aims and objectives of the study were to i) perform image segmentation using a color-
based k-means clustering algorithm and feature extraction using binary robust invariant …

Multi-layer segmentation framework for cell nuclei using improved GVF Snake model, Watershed, and ellipse fitting

D Jia, C Zhang, N Wu, Z Guo, H Ge - Biomedical Signal Processing and …, 2021 - Elsevier
Screening of diseases including cervical cancer, breast cancer and colorectal cancer using
cell images from pap smears have been widely applied in recent years. Accurate …

[HTML][HTML] Optimised calibration of machine vision system for close range photogrammetry based on machine learning

S El Ghazouali, A Vissiere, LF Lafon… - Journal of King Saud …, 2022 - Elsevier
Real-time inspection of large mechanical parts manufacturing using camera-based
scanning systems are increasingly adopted in industry 4.0. It leads to take preventive actions …