期刊文献+

基于细胞神经网络边缘检测的自适应研究 被引量:3

Adaptive research based on the edge detection of cellular neural networks
下载PDF
导出
摘要 针对细胞神经网络(CNN)在边缘提取中简单自适应模板对灰度图像边缘不完整的问题,提出了对简单模板进行改进,将四分模板细化为六分模板的方法.首先均分简单模板中的判定范围,然后重新推导在不同范围中各个自适应模板的各项取值,再对图像处理中常用的灰度图像进行边缘提取并与简单自适应模板的结果进行比较.实验结果表明:改进的自适应模板相比较于简单的自适应模板可以提取出更完整、清晰的边缘. In order to solve the problem of incomplete edge of gray image by simple adaptive template in edge extraction by cellular neural network(CNN), a method is proposed to improve the simple template and refine the four-part template into six-part template. Firstly, the judgment range of the simple template is divided evenly.Secondly, the values of each adaptive template in different ranges are derived again. Finally, the edge extraction of the gray image commonly used in image processing is carried out and the results of the simple adaptive template are compared. Experimental results show that the improved adaptive template can extract more complete and clear edges than the simple adaptive template.
作者 赵显达 黄欢 ZHAO Xian-da;HUANG Huan(College of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China)
出处 《云南大学学报(自然科学版)》 CAS CSCD 北大核心 2019年第2期268-277,共10页 Journal of Yunnan University(Natural Sciences Edition)
基金 国家自然科学基金(KKGD201403088)
关键词 细胞神经网络 边缘检测 自适应模板 cellular neural network edge detection adaptive template
  • 相关文献

参考文献10

二级参考文献76

  • 1雷国伟,吕迎阳,纪安妮,吴孙桃,郭东辉.图像特征的CNN提取方法及其应用[J].计算机工程与应用,2004,40(14):204-206. 被引量:5
  • 2廖晓昕.细胞神经网络的数学理论(Ⅰ)[J].中国科学(A辑),1994,24(9):902-910. 被引量:13
  • 3马翼平,韩纪庆.DCT域音频水印算法的嵌入位置选择策略[J].计算机科学,2005,32(11):139-141. 被引量:3
  • 4严和平,邓荣佐,王知衍.一种基于数据库的图像分割评价方法[J].计算机应用研究,2006,23(5):248-250. 被引量:3
  • 5刘玉明,周冬明,赵东风.基于细胞神经网络超混沌特性的图像加密[J].云南大学学报(自然科学版),2007,29(4):355-358. 被引量:15
  • 6Leon O Chua,Lin Yang.Cellular neural networks:Theory[J].IEEE Transactions on Circuits and Systems,1988,35(10):1257-1272.
  • 7Leon O Chua,Lin Yang.Cellular neural networks:Applications [J]. IEEE Transactions on Circuits and Systems, 1988,35 (10): 1273-1290.
  • 8Feng Qiang,Yu Shenglin,Wang Huaiyin.An new automatic nucleated cell counting method with improved cellular neural networks(ICNN)[C].Proceedings of the 10th International Workshop on Cellular Neural Networks and Their Applications. Istanbul,Turkey:IEEE,2006:1-4.
  • 9Zhang Zanchao,Xia Shunren,Duan Huilong.Cellular neural network based urinary image segmentation[C].Proceedings of the Third International Conference on Natural Computation.Haikou, China:IEEE Computer Society,2007:285-289.
  • 10Florian Dohler, Florian Mormarm,Bemd Weber, et al.A cellular neural network based method for classification of magnetic resonance images:Towards an automated detection of hippocampal sclerosis [J]. Journal of Neuroscience Methods, 2008,170 (2): 324-331.

共引文献44

同被引文献19

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部