Exploring feature compensation and cross-level correlation for infrared small target detection

M Zhang, K Yue, J Zhang, Y Li, X Gao - Proceedings of the 30th ACM …, 2022 - dl.acm.org
Single frame infrared small target (SIRST) detection is useful for many practical applications,
such as maritime rescue. However, SIRST detection is challenging due to the low-contrast …

A proposed face recognition based on hybrid algorithm for features extraction

SQ Alhashmi, KH Thanoon… - 2020 6th International …, 2020 - ieeexplore.ieee.org
This paper offers a suggested method of facial recognition to identify any person. Initially,
captured images in the database to apply matching processing, which ease the recognition …

Rapid thin-layer WS2 detection based on monochromatic illumination photographs

X Hu, C Qiu, D Liu - Nano Research, 2021 - Springer
The thickness of two-dimensional (2D) nanomaterials shows a significant effect on their
optical and electrical properties. Therefore, a rapid and automatic detection technology of …

A novel online state-based anomaly detection system for process control networks

H Farsi, A Fanian, Z Taghiyarrenani - International Journal of Critical …, 2019 - Elsevier
Industrial control networks are the core part of critical infrastructures such as power grid and
oil refinery. In recent years, the number of cyber-attacks to industrial control networks are …

[Retracted] Sharpening and Detection of Road Studs for Intelligent Vehicles at Nighttime

MH Siddiqi, I Alrashdi - Security and Communication Networks, 2022 - Wiley Online Library
Intelligent vehicles need to survive against various environments on roads such as sunlit,
unclear, showery, shadowy, and inside tunnel conditions. This research designs a robust …

CSC-Net: A Lightweight Model for Remote Real-Time Monitoring of Infrared Small Targets

M Zhang, N Zhou, X Li, X Dong… - … Conference on Future …, 2023 - ieeexplore.ieee.org
Infrared small target detection (IRSTD) is an important subject in many fields such as real-
time monitoring and drone applications. Drones typically require real-time processing and …

Brain tumor segmentation using clustering approach

H Parmar, B Talati - 2019 Innovations in Power and Advanced …, 2019 - ieeexplore.ieee.org
Segmentation is main step at Brain tumor detection in the medical field. Although there are
number of methods have been available for brain tumor segmentation, but segmenting the …

An automated method for detecting tumor by Neutrosophic set

D Aarthi, A Panimalar, S Santhoshkumar - AIP Conference …, 2024 - pubs.aip.org
The abnormality in growth of cells or the infected cells in cerebral area is known as brain
tumor. There are two stages in brain tumor namely malignant or benign. For the purpose of …

Image filter with logistic functions

Y Yamak, M Kılıçaslan, R Demirci - 2020 4th International …, 2020 - ieeexplore.ieee.org
Image enhancement is one of the most important issue of image processing. During
acquisition of image, undesirable signals could be added into digital image. Image …

Filtering magnetic resonance images to detect brain tumor

A Sarkar, M Maniruzzaman, MS Ahsan… - 2020 International …, 2020 - ieeexplore.ieee.org
Magnetic resonance imaging is one of the best methods for detecting brain tumors. But the
images captured by this method may contain different kinds of noises. So it is very essential …