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dc.contributor.author辜萍萍
dc.contributor.author董槐林
dc.contributor.author姜青山
dc.date.accessioned2017-11-14T02:38:27Z
dc.date.available2017-11-14T02:38:27Z
dc.date.issued2006-12-30
dc.identifier.citation微电子学与计算机,2006,(S1):166-168
dc.identifier.issn1000-7180
dc.identifier.otherWXYJ2006S1057
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/153463
dc.description.abstract具有自组织性并行行为的元胞自动机模型已逐步应用于图像处理领域。在已有的基于元胞自动机的图像处理算法基础上,结合元胞自动机和图像边缘的种种特征,提出了一种新的适用于图像边缘检测的元胞自动机模型。实验证明,新模型更加有效地勾勒出图像细节边缘。同时,该模型也适用于高分辨率遥感图像中小目标的边缘检测和提取。
dc.description.abstractCellular Automata with self-organizing and parallel evolvement has been used in image processing gradually. Considered the existing situation, a new algorithm for edge detection of image based on cellular Automata is proposed. The results have shown that the new CA model works well which can detect edges effectively, especially for the slender edges. And also this model can be used on SAR images.
dc.description.sponsorship厦门大学985二期信息创新平台项目
dc.language.isozh_CN
dc.subject元胞自动机
dc.subject边缘检测
dc.subject高分辨率遥感
dc.subject目标识别
dc.subjectCellular automata, Edge detection, High spatial resolution remote sensing, Target recognition
dc.title基于元胞自动机的图像边缘检测新方法
dc.title.alternativeNew Algorithm for Edge Detection Based on Cellular Automata
dc.typeArticle


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