摘要
传统的超混沌图像模糊特征聚焦方法聚焦时间长,为此设计一种基于视觉特性的超混沌图像模糊特征聚焦方法,对超混沌图像去噪处理,提高图像的高频分量,利用标准差反应图像灰度均值的离散情况,并将能量作为图像是否清晰的依据,引入图像可见度概念,衡量图像局部可见度,提取超混沌图像局部纹理特征。在此基础上,设置聚焦评价函数,采用视觉特性方法,克服超混沌图像模糊特征聚焦时的非线性因素影响,使调焦过程在远离焦点时进行大范围扫描,以完成基于视觉特性的超混沌图像模糊特征聚焦。实验对比结果表明,设计的基于视觉特性的超混沌图像模糊特征聚焦方法的聚焦时间比传统方法的聚焦时间短,证明设计的方法具有实际应用意义。
The traditional hyper-chaos image fuzzy feature focusing method has a long focusing time.To this end,a hyper-chaotic image fuzzy feature focusing method is designed based on visual characteristics.The hyper-chaotic image is de-noised,and the high-frequency components of the image are improved.The standard deviation is used to reflect the dispersion of the gray value of the image,and energy is used as the basis for the image's clarity.Introduce The concept of image visibility is introduced to measure the local visibility of the image,extract the local texture features of the hyperchaotic image,on this basis,the focus evaluation function is set.Based on the local texture features of the image,a focus evaluation function is set,and the visual characteristic method is used to overcome the influence of non-linear factors during the focusing of the hyper-chaotic image fuzzy features,so that the focusing process can be scanned in a large range when it is far from the focus.Focusing on fuzzy features of hyperchaotic images based on visual characteristics.The experimental comparison results show that the focusing time of the fuzzy feature-based hyperchaotic image focusing method designed in this design is shorter than that of the traditional method,which proves that the designed method has practical application significance.
作者
肖杨阳
XIAO Yang-yang(School of OPTO-Electronic Engineering,Changchun University of Science and Technology,Changchun 130022,China)
出处
《信息技术》
2020年第7期112-116,共5页
Information Technology
关键词
视觉特性
超混沌图像
模糊特征
聚焦
评价函数
visual characteristics
hyperchaotic image
fuzzy features
focus
evaluation function
作者简介
肖杨阳(1999-),男,本科,研究方向为计算光学与图像处理。
