《计算机应用研究》|Application Research of Computers

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

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作者 刘清,曾小荟,王忠华,涂娟
机构 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
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文章编号 1001-3695(2012)06-2387-03
DOI 10.3969/j.issn.1001-3695.2012.06.104
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。
关键词 数学形态学;量子叠加态;信息熵;边缘检测
基金项目 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)
本文URL http://www.arocmag.com/article/01-2012-06-104.html
英文标题 Edge detection by mathematical morphology filtering about quantum superposition state and entropy
作者英文名 LIU Qing, ZENG Xiao-hui, WANG Zhong-hua, TU Juan
机构英文名 1. School of Electronics & Information Engineering, Jinggangshan University, Ji'an Jiangxi 343009, China; 2. Key Laboratory of Embedded System & Service Computing for Ministry of Education, Tongji University, Shanghai 200092, China; 3. School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China
英文摘要 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.
英文关键词 mathematical morphology; quantum superposition state; entropy; edge detection
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页码 2387-2389
中图分类号 TP391
文献标志码 A