摘要
采用对称蝶形宇宙算法提升电路板红外图像模糊增强的效果。首先建立对称蝶形宇宙结构,整个宇宙之间通过节线进行信息交流,对称蝶形宇宙结构划分不同的节段,同一个节段的宇宙信息交流速度要高于节段之间的信息交流速度;然后给出不同节段信息交流过程,只有宇宙体自身信息有信息差时才可以与其他宇宙进行信息交流;最后在不同的灰度段实现非完全Beta函数自适应电路板红外图像模糊增强。实验仿真显示:该算法与其它算法相比对电路板红外图像增强效果更为清晰,优质系数和背景抑制因子值较好。
In order to improve the quality of infrared image fuzzy enhancement of circuit board,symmetric butterfly algorithm is proposed. Firstly, symmetric butterfly universe topology was built,whole universe information exchange was used pitch line,and symmetrical butterfly structure was segmented different sections,and the same section information exchange rate was higher than different sections.Secondly, different sections of information exchange process was given,which could communicate with other universes while the universe has information exchange.Finally, infrared image fuzzy enhancement of circuit board was adaptived with incomplete Beta function in different gray level.Simulation experiments show that the symmetric butterfly universe algorithm would make infrared image fuzzy enhancement of circuit board more clearer,and quality coefficient and background suppression factor is better than other algorithms.
出处
《计量学报》
CSCD
北大核心
2018年第2期251-254,共4页
Acta Metrologica Sinica
基金
河南省教育厅课题(2016-JSJYYB-182)
河南省教育厅科学研究重点项目(17B510004)
河南师范大学新联学院转型专项课题(2015XL-YB-1504)
河南省科技攻关项目(172102210336)
关键词
计量学
红外图像
模糊增强
对称蝶形宇宙
电路板
节段
metrology
infrared image
fuzzy enhancement
symmetric butterfly universe
circuit board
section
