基于数学形态学的海洋浮游植物边缘检测研究
Research of Edge Detection for Marine Phytoplankton Based on Mathematical Morphology
dc.contributor.author | 聂文 | zh_CN |
dc.contributor.author | 杨晨晖 | zh_CN |
dc.contributor.author | 陈成 | zh_CN |
dc.date.accessioned | 2011-04-26T08:22:51Z | |
dc.date.available | 2011-04-26T08:22:51Z | |
dc.date.issued | 2008-12 | zh_CN |
dc.identifier.citation | 南京师范大学学报 (工程技术版 ).2008(12):166-172 | zh_CN |
dc.identifier.uri | https://dspace.xmu.edu.cn/handle/2288/8056 | |
dc.description.abstract | 中文摘要: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 ++ 610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. 英文摘要:Abstract: The traditi onal edge detecti on operat ors cannot detect the exact edge ofmarine phyt op lankt on cells because of the relatively large i mpact of noise, hence, it is not suitable for analyzing the shape of cells . This paper, based on the characteristics of the original i mages of marine phyt op lankt on, has p roposed a new method which combines iterative arithmetic, mathematicalmor phol ogy, si milar XOR and Singal -pixel corr osi on, and therefore, can detect the edge more accurately . The trial ofVisual C ++ 610 has p roved that the edge detecti on algorithm in this paper is not only str ongly resistant t o noise, but als o highly p recise, continuous, and clear, while compared with the traditi onal edge detecti on operators . | zh_CN |
dc.description.sponsorship | 国家自然科学基金项目 (40627001) | zh_CN |
dc.language.iso | zh | zh_CN |
dc.publisher | 南京师范大学学报 (工程技术版)编辑部 | zh_CN |
dc.relation.ispartofseries | 1672-1292(2008)04-0167-06 | zh_CN |
dc.subject | 海洋浮游植物 | zh_CN |
dc.subject | 迭代域值 | zh_CN |
dc.subject | 数学形态学 | zh_CN |
dc.subject | 边缘检测 | zh_CN |
dc.subject | edge detection | zh_CN |
dc.subject | mathematicalmorphology | zh_CN |
dc.subject | iterative arithmetic | zh_CN |
dc.subject | marine phytoplankton | zh_CN |
dc.title | 基于数学形态学的海洋浮游植物边缘检测研究 | zh_CN |
dc.title.alternative | Research of Edge Detection for Marine Phytoplankton Based on Mathematical Morphology | zh_CN |
dc.type | Article | zh_CN |
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