摘要
为了提高电路板红外成像增强的效果,采用量子行为粒子优化算法。首先在量子空间中更新粒子位置,建立粒子停滞系数与收缩扩张系数之间的关系;接着通过判断粒子停滞有效地减少无效迭代;最后采用非完全Beta函数实现电路板红外图像增强。实验仿真显示该算法对电路板红外成像细节增强效果比较清晰,均方误差明显减小,相对信噪比明显提高。
In order to improve the effect of infrared imaging of the circuit board, the quantum- behaved particle optimization algo-rithm is proposed. Firstly, position of particle was updated in the quantum space, and relationship was established between the stag-nation coefficient and the contraction expansion coefficient. Secondly, method was determined the particle stagnation, which was re-duced the invalid iteration. Finally, infrared image of circuit board was enhanced by incomplete beta function. Experimental simula-tion shows that quantum- behaved particle swarm optimization algorithm infrared image enhancement of circuit board is more clearer than other algorithm, the mean square error is declined significantly, and peak signal to noise ratio is significantly improved.
出处
《电子技术应用》
北大核心
2016年第8期138-140,共3页
Application of Electronic Technique
基金
河南科技攻关项目(142102210337)
关键词
量子行为
停滞系数
非完全Beta函数
红外成像
增强
quantum-behaved
stagnation factor
incomplete Beta function
infrared image
enhancement
