量子叠加态和信息熵的形态边缘提取算法  

Edge detection by mathematical morphology filtering about quantum superposition state and entropy

作　　者：刘清[1] 曾小荟[1,2] 王忠华[3] 涂娟[1] 

机构地区：[1]井冈山大学电子与信息工程学院,江西吉安343009 [2]同济大学嵌入式系统与服务计算教育部重点实验室,上海200092 [3]南昌航空大学信息工程学院,南昌330063

出　　处：《计算机应用研究》2012年第6期2387-2389,共3页Application Research of Computers

基　　金：江西省科技厅指导计划项目(2009ZDG04800);江西省教育厅科技计划项目(GJJ11180;GJJ10538);同济大学嵌入式系统与服务计算教育部重点实验室开放课题(2010-09)

摘　　要：针对含噪图像的边缘难以检测的问题,通过研究量子力学叠加态理论,构造出一种多结构的量子叠加态结构元素,此叠加态结构元素涵盖线条的任意走向,从而检测出完整而连续的边缘;并在算法设计中利用图像信息熵确定各叠加态结构元素的概率。仿真实验结果表明,相对于传统形态学结构元素,所提出的量子叠加态结构元素对含噪图像边缘检测可以得到比较理想的效果。Based on principle of superposition state in quantum mechanics,this paper constructed a novel multi-structure morphology structure element and used it to detect edge of noised image.This morphology structure element,which based on superposition state,could detect integrated and continuous edge because it comprises almost all the directions of lines that extended in the image.And its size and shape were not invariant after its scale selected.Moreover,this paper applied image entropy in setting the probability of structure element.The experimental results show that this algorithm can gain desired effect comparisons with traditional structure element.

关 键 词：数学形态学 量子叠加态 信息熵 边缘检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]