[1]聂文,杨晨晖,陈成,等.基于数学形态学的海洋浮游植物边缘检测研究[J].南京师范大学学报(工程技术版),2008,08(04):167-172.
 Nie Wen,Yang Chenhui,Chen Cheng.Research of Edge Detection for Marine Phytoplankton Based on Mathematical Morphology[J].Journal of Nanjing Normal University(Engineering and Technology),2008,08(04):167-172.
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基于数学形态学的海洋浮游植物边缘检测研究
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
08卷
期数:
2008年04期
页码:
167-172
栏目:
出版日期:
2008-12-30

文章信息/Info

Title:
Research of Edge Detection for Marine Phytoplankton Based on Mathematical Morphology
作者:
聂文;杨晨晖;陈成;
厦门大学信息科学与技术学院, 福建厦门361005
Author(s):
Nie WenYang ChenhuiChen Cheng
School of Information Science and Technology,Xiamen University,Xiamen 361005,China
关键词:
海洋浮游植物 迭代域值 数学形态学 边缘检测
Keywords:
m arine phytoplankton iterative ar ithm etic m athem atical mo rpho logy edge detec tion
分类号:
TP391.41
摘要:
传统的边缘检测算子由于受噪声影响比较大,无法检测海洋浮游植物细胞可靠的边缘位置,因此不适合应用于细胞形态分析.为此,针对海洋浮游植物细胞原始图像的特点,提出了一种迭代域值算法,数学形态学处理,类异或运算,单像素腐蚀相结合的边缘精确检测算法.通过Visual C++6.0试验结果证明,与传统的边缘检测算法相比较,本文的边缘检测算法不但抗噪声干扰能力强,而且检测精度高,边缘连续,清晰.
Abstract:
The trad itiona l edge detection operato rs cannot detect the exact edg e o fm ar ine phytoplankton ce lls because o f the re lative ly large impact o f no ise, hence, it is not su itab le for ana lyzing the shape of ce lls. This paper, based on the characteristics o f the or ig ina l im ages o f m arine phy top lankton, has proposed a new m ethod wh ich com bines iterative arithm etic, ma them a tica lm orpho logy, sim ilar XOR and S inga-l pixe l co rrosion, and therefore, can detect the edg em ore accura tely. The tria l of V isua lC+ + 6. 0 has prov ed tha t the edge detection algor ithm in th is pape r is not on ly strong ly res istant to no ise, but a lso h ighly precise, continuous, and clear, while com pared w ith the trad itiona l edge detection opera tors

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备注/Memo

备注/Memo:
基金项目: 国家自然科学基金项目( 40627001) .
通讯联系人: 杨晨晖, 教授, 研究方向: 模式识别、车牌识别和视频检测. E-m ail: hy it_1022@ yahoo. com. cn
更新日期/Last Update: 2013-04-24