@inproceedings{62dd47fee69e4168bb6fc659ddedea9b,
title = "A new method for edge detection",
abstract = "A hybrid genetic quantum algorithm (GQA) is proposed for edge detection. GQA is based on the concept and principles of quantum computing such as qubits and superposition of states. By adopting qubit chromosome, GQA can represent a linear superposition of solutions due to its probabilistic representation. Thus, GQA has a better characteristic of diversity and better global search capability than classical approaches. We combine GQA and the local search technique to the problem of edge detection. Experiment results show that the algorithm perform well in terms of quality of the final edge image, rate of convergence and robustness to noise.",
keywords = "Edge detection, Genetic quantum algorithm (GQA), Quantum chromosome",
author = "Ying Li and Zhang, {Yan Ning} and Zhao, {Rong Chun} and Jiao, {Li Cheng}",
year = "2003",
language = "英语",
isbn = "0780378652",
series = "International Conference on Machine Learning and Cybernetics",
pages = "1780--1784",
booktitle = "International Conference on Machine Learning and Cybernetics",
note = "2003 International Conference on Machine Learning and Cybernetics ; Conference date: 02-11-2003 Through 05-11-2003",
}