A survey on the applications of artificial bee colony in signal, image, and video processing

B Akay, D Karaboga - Signal, Image and Video Processing, 2015 - Springer
Artificial bee colony (ABC) algorithm is a swarm intelligence algorithm, which simulates the
foraging behavior of honeybees. It has been successfully applied to many optimization …

Artificial bee colony: theory, literature review, and application in image segmentation

E Hancer - Recent advances on memetic algorithms and its …, 2020 - Springer
The artificial bee colony (ABC) is one of the most well-regarded swarm intelligence-based
algorithms in the literature of evolutionary computation techniques. This algorithm mimics …

Improved Latin hypercube sampling initialization-based whale optimization algorithm for COVID-19 X-ray multi-threshold image segmentation

Z Wang, D Zhao, AA Heidari, Y Chen, H Chen… - Scientific Reports, 2024 - nature.com
Image segmentation techniques play a vital role in aiding COVID-19 diagnosis. Multi-
threshold image segmentation methods are favored for their computational simplicity and …

[PDF][PDF] Automatic Value Identification of Pointer-Type Pressure Gauge Based on Machine Vision.

X Ye, D Xie, S Tao - J. Comput., 2013 - jcomputers.us
This paper presents a new method of value identification of pointer-type pressure gauges
based on machine vision, by which an automatic calibration system can be designed …

[PDF][PDF] Design of Intelligent Parking Management System Based on License Plate Recognition.

Q Tian, T Guo, S Qiao, Y Wei, W Fei - Journal of Multimedia, 2014 - Citeseer
License Plate Recognition (LPR) which has been extensively studied recently is becoming
one important part of Intelligent Transportation Systems (ITS). It is not only applied to public …

[PDF][PDF] Human Detection using HOG Features of Head and Shoulder Based on Depth Map.

Q Tian, B Zhou, W Zhao, Y Wei, W Fei - J. Softw., 2013 - jsoftware.us
Conventional moving objects detection and tracking using visible light image was often
affected by the change of moving objects, change of illumination conditions, interference of …

Image thresholding improved by global optimization methods

F Balabanian, E Sant'Ana da Silva… - Applied Artificial …, 2017 - Taylor & Francis
Image thresholding is a common segmentation technique with applications in various fields,
such as computer vision, pattern recognition, microscopy, remote sensing, and biology. The …

Swarm hyperheuristic framework

SL Tilahun, MA Tawhid - Journal of Heuristics, 2019 - Springer
Swarm intelligence is one of the central focus areas in the study of metaheuristic algorithms.
The effectiveness of these algorithms towards solving difficult problems has attracted …

Image segmentation using metaheuristics

D Oliva, M Abd Elaziz, S Hinojosa, D Oliva… - … algorithms for image …, 2019 - Springer
The image segmentation is considered one of the most popular pre-processing in image
processing and computer vision. It aims to partition the image into different regions which …

Objective assessment of bull sperm motility parameters using computer vision algorithms

D RodrÃguez-Montaña… - African Journal of …, 2017 - academicjournals.org
The quality control of frozen semen samples from cattle is established by parameters such
as percentage of progressive motility (% MP) because it is related to the fertilization capacity …