人眼视觉感知融合等周理论的自然迷彩纹理提取  

Extraction Arithmetic Method for Nature Camouflage Texture Based on Human Visual Perception and Isoperimetric Theory

作　　者：陈超[1] 

机构地区：[1]四川理工学院计算机学院,自贡643000

出　　处：《科学技术与工程》2014年第5期124-128,136,共6页Science Technology and Engineering

基　　金：四川省科技厅支撑计划项目(2013GZ0030);四川省教育厅科研基金项目(11ZB095);四川理工学院国家基金培育项目(2011PY05)资助

摘　　要：现阶段数码迷彩纹理的提取方法缺乏主观视觉感知,针对其提取效果和质量欠佳的问题,提出一种融合视觉感知和等周理论的数码迷彩纹理提取方法。此方法先利用人的视觉感知特性构造边权值函数,再将等周率作为选择分割阈值的准则,选取最小等周率所对应的的候选阈值作为最终分割阈值,完成数码迷彩纹理的提取。在一系列自然纹理图像上的实验结果表明,与现有的几种经典多阈值分割方法相比,此方法的分割效果更好。The extraction methods of present digital camouflage texture are lack of subjective visual perception.With the poor effect and quality of extraction,a novel extraction arithmetic for digital camouflage texture image based on human visual perception and isoperimetric theory is presented.The proposed method first utilizes characteristics of human visual perception to build constructor of edge weight,then uses isoperimetric ratio in isoperimetric theory based on human visual perception as a criterion to determine the optimal threshold from the candidates.Experimental results on a series of natural texture images show that method outperforms several existing classic thresholding methods in segmentation quality.

关 键 词：数码迷彩 等周理论 多级阈值 图像分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]