摘要
采用碟形宇宙算法提升电路板红外图像的增强效果。建立碟形宇宙拓扑结构以及宇宙间信息流过程,利用多宇宙之间的信息流移民策略,使各个宇宙链路之间进行双向移民。通过自适应非完全Beta函数实现对电路板红外图像不同灰度段的增强,利用电路板红外图像增强质量评价函数作为碟形宇宙算法的适应度函数,并给出了算法流程。仿真结果显示碟形宇宙算法对电路板红外图像增强结果较好,增强后的图像清晰,其检测性能分析表明图像信息二维熵、对比度测量指标较优。
In order to improve the quality of circuit board infrared image enhancement, the butterfly universe algorithm is proposed. The butterfly universe topology structure and the universe information flow process are built, the multi universe information flow migration strategy is made by two-way migration between various cosmic links. The function to evaluate the circuit board infrared image enhancement effect is taken as the fitness function of the butterfly universe algorithm by the adaptive incomplete Beta function. Finally, the algorithm process is provided. Simulation results show that the butterfly universe algorithm has good circuit board infrared image enhancement effect, the enhanced image is clearer, and the two-dimensional entropy and contrast measurement index of image information are better.
出处
《激光与光电子学进展》
CSCD
北大核心
2017年第7期157-163,共7页
Laser & Optoelectronics Progress
基金
河南省教育厅课题(2016-JSJYYB-182)
河南师范大学新联学院转型专项课题(2015XL-YB-1504)
关键词
成像系统
碟形宇宙算法
红外成像
非完全Beta函数
图像增强
imaging systems
butterfly universe algorithm
infrared imaging
incomplete Beta function
image enhancement
