Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review

R Rai, A Das, KG Dhal - Evolving Systems, 2022 - Springer
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Malignancy detection in lung and colon histopathology images using transfer learning with class selective image processing

S Mehmood, TM Ghazal, MA Khan, M Zubair… - IEEE …, 2022 - ieeexplore.ieee.org
Cancer accounts for a huge mortality rate due to its aggressiveness, colossal potential of
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …

An analytical review on rough set based image clustering

KG Dhal, A Das, S Ray, K Sarkar, J Gálvez - Archives of Computational …, 2021 - Springer
Clustering is one of the most vital image segmentation techniques. However, proper image
clustering has always been a challenging task due to blurred and vague areas near to …

A survey on the utilization of Superpixel image for clustering based image segmentation

B Sasmal, KG Dhal - Multimedia Tools and Applications, 2023 - Springer
Superpixel become increasingly popular in image segmentation field as it greatly helps
image segmentation techniques to segment the region of interest accurately in noisy …

Analyzing the secondary wastewater-treatment process using Faster R-CNN and YOLOv5 object detection algorithms

O Inbar, M Shahar, J Gidron, I Cohen… - Journal of Cleaner …, 2023 - Elsevier
The activated sludge (AS) process is the most common type of secondary wastewater
treatment, applied worldwide. Due to the complexity of microbial communities, imbalances …

A Lightweight Model for Traffic Sign Classification Based on Enhanced LeNet‐5 Network

A Zaibi, A Ladgham, A Sakly - Journal of Sensors, 2021 - Wiley Online Library
For several years, much research has focused on the importance of traffic sign recognition
systems, which have played a very important role in road safety. Researchers have …

Connected-segNets: A deep learning model for breast tumor segmentation from X-ray images

M Alkhaleefah, TH Tan, CH Chang, TC Wang, SC Ma… - Cancers, 2022 - mdpi.com
Simple Summary The segmentation of breast tumors is an important step in identifying and
classifying benign and malignant tumors in X-ray images. Mammography screening has …

Enhancement of satellite images based on CLAHE and augmented elk herd optimizer

M Braik, MA Al-Betar, MA Mahdi, M Al-Shalabi… - Artificial Intelligence …, 2024 - Springer
Satellite images often have very narrow brightness value ranges, so it is necessary to
enhance the contrast and brightness, maintain the quality of visual information, and preserve …

Multi-Scale FPGA-Based Infrared Image Enhancement by Using RGF and CLAHE

J Liu, X Zhou, Z Wan, X Yang, W He, R He, Y Lin - Sensors, 2023 - mdpi.com
Infrared sensors capture thermal radiation emitted by objects. They can operate in all
weather conditions and are thus employed in fields such as military surveillance …

A fast text-to-image encryption-decryption algorithm for secure network communication

NS Noor, DA Hammood, A Al-Naji, J Chahl - Computers, 2022 - mdpi.com
Data security is the science of protecting data in information technology, including
authentication, data encryption, data decryption, data recovery, and user protection. To …