| 基于二进制量子微粒群算法的二维熵图像分割 |
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| 引用本文： | 黄力明.基于二进制量子微粒群算法的二维熵图像分割[J].计算机与数字工程,2009,37(5):142-146. |
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| 作者姓名： | 黄力明 |
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| 作者单位： | 镇江市高等专科学校电子信息系,镇江,212003 |
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| 摘 要： | 分析量子计算的特点，对量子旋转门进行研究，给出了新的量子旋转门调整策略，并与离散二进制粒子群优化算法进行组合，提出了二进制量子粒子群优化算法。该算法具有收敛速度快、全局寻优能力强的特点。用典型复杂函数对其进行测试，测试结果表明，算法的优化质量和效率都优于离散二进制粒子群优化算法。将二进制量子粒子群优化算法与阈值法相结合应用于图像分割，结果表明了基于二进制量子粒子群优化算法的二维熵图像分割法用于阈值寻优具有更快的收敛速度和更好的全局寻优能力。
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| 关 键 词： | 粒子群优化算法 量子染色体 量子旋转门 量子计算 二进制量子粒子群优化算法 |
Image Segmentation Based on Binary Quantum Particle Swarms Optimization Algorithm |
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| Huang Liming.Image Segmentation Based on Binary Quantum Particle Swarms Optimization Algorithm[J].Computer and Digital Engineering,2009,37(5):142-146. |
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| Authors: | Huang Liming |
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| Affiliation: | Department of Electronics and Information;Zhenjiang College;Zhenjiang 212003 |
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| Abstract: | According to the analysis of the characteristics of quantum computing and the research of quantum rotation gate,a new quantum rotation gate adjustment strategy was introduced.With the combination of discrete particle swarm optimization,a new binary quantum particle swarms optimization algorithm was proposed.This new algorithm has good speed of convergence,global optimization capability and much shorter running time.The results for some important functions show that BQPSO is more effective and feasible in so... |
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| Keywords: | particle swarm optimization algorithm quantum chromosome quantum rotation gate quantum computing binary quantum particle swarms optimization algorithm |
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