State of the art in defect detection based on machine vision

Z Ren, F Fang, N Yan, Y Wu - International Journal of Precision …, 2022 - Springer
Abstract Machine vision significantly improves the efficiency, quality, and reliability of defect
detection. In visual inspection, excellent optical illumination platforms and suitable image …

Differential Evolution: A review of more than two decades of research

M Pant, H Zaheer, L Garcia-Hernandez… - … Applications of Artificial …, 2020 - Elsevier
Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …

Multilevel thresholding using grey wolf optimizer for image segmentation

AKM Khairuzzaman, S Chaudhury - Expert Systems with Applications, 2017 - Elsevier
Multilevel thresholding is one of the most important areas in the field of image segmentation.
However, the computational complexity of multilevel thresholding increases exponentially …

Multi-verse optimizer with rosenbrock and diffusion mechanisms for multilevel threshold image segmentation from COVID-19 chest X-ray images

Y Han, W Chen, AA Heidari, H Chen - Journal of Bionic Engineering, 2023 - Springer
Abstract Coronavirus Disease 2019 (COVID-19) is the most severe epidemic that is
prevalent all over the world. How quickly and accurately identifying COVID-19 is of great …

Automated asphalt pavement damage rate detection based on optimized GA-CNN

J Li, T Liu, X Wang, J Yu - Automation in Construction, 2022 - Elsevier
Pavement needs to be maintained from the moment its service life begins. The maintenance
strategy is mainly based on pavement quality indexes, such as the road damage rate (DR) …

Differential evolution and its applications in image processing problems: a comprehensive review

S Chakraborty, AK Saha, AE Ezugwu… - … Methods in Engineering, 2023 - Springer
Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …

Image segmentation using multilevel thresholding: a research review

S Pare, A Kumar, GK Singh, V Bajaj - Iranian Journal of Science and …, 2020 - Springer
Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …

Modified firefly algorithm based multilevel thresholding for color image segmentation

L He, S Huang - Neurocomputing, 2017 - Elsevier
In this paper, a modified firefly algorithm (MFA) is proposed to find the optimal multilevel
threshold values for color image. Kapur's entropy, minimum cross entropy and between …

Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms

AK Bhandari, A Kumar, GK Singh - Expert systems with applications, 2015 - Elsevier
In this paper, a new technique for color image segmentation using CS algorithm supported
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …

An efficient multilevel color image thresholding based on modified whale optimization algorithm

J Anitha, SIA Pandian, SA Agnes - Expert Systems with Applications, 2021 - Elsevier
Color image segmentation is a vital preprocessing stage in various image processing
applications. In threshold-based segmentation, the success of the image segmentation …