@inproceedings{a9dc47a5e36947d5b4e5c576f07884dc,
title = "Real-Time video thresholding using evolutionary techniques and cross entropy",
abstract = "Evolutionary Algorithms (EAs) are present in most areas of science and engineering where difficult problems arise. However, EAs are often applied to design problems where the speed is not a crucial factor. This tendency has lead EAs to be excluded from real-Time applications due to its iterative nature. Image processing has benefited from EAs on many off-line applications, but little research has been made for real-Time image processing problems. This paper presents the evaluation of EAs applied to the thresholding of a stream of images in real-Time. Results indicate that Differential Evolution (DE) can be modified to achieve real-Time performance on a single core implementation without any form of parallelization. These circumstances indicate that the performance can be further improved with multi-core implementations or GPU parallelization.",
keywords = "Evolutive algorithms, Image processing, Real-Time, Thresholding",
author = "Salvador Hinojosa and Diego Oliva and Erik Cuevas and Marco Perez-Cisneros and Gonzalo Pajares",
year = "2018",
month = jun,
day = "26",
doi = "10.1109/EAIS.2018.8397184",
language = "English",
series = "2018 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--8",
editor = "Yannis Manolopoulos and Lazaros Iliadis and Plamen Angelov and Edwin Lughofer",
booktitle = "2018 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018",
address = "United States",
note = "11th IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018 ; Conference date: 25-05-2018 Through 27-05-2018",
}