首页    期刊浏览 2025年07月08日 星期二
登录注册

文章基本信息

  • 标题:Modular Cellular Neural Network Structure for Wave-Computing-Based Image Processing
  • 本地全文:下载
  • 作者:Karami, Mojtaba ; Safabakhsh, Reza ; Rahmati, Mohammad
  • 期刊名称:ETRI Journal
  • 印刷版ISSN:1225-6463
  • 电子版ISSN:2233-7326
  • 出版年度:2013
  • 卷号:35
  • 期号:2
  • 页码:207-217
  • DOI:10.4218/etrij.13.0112.0107
  • 语种:English
  • 出版社:Electronics and Telecommunications Research Institute
  • 摘要:This paper introduces the modular cellular neural network (CNN), which is a new CNN structure constructed from nine one-layer modules with intercellular interactions between different modules. The new network is suitable for implementing many image processing operations. Inputting an image into the modules results in nine outputs. The topographic characteristic of the cell interactions allows the outputs to introduce new properties for image processing tasks. The stability of the system is proven and the performance is evaluated in several image processing applications. Experiment results on texture segmentation show the power of the proposed structure. The performance of the structure in a real edge detection application using the Berkeley dataset BSDS300 is also evaluated.
  • 关键词:Cellular neural network (CNN);modular cellular neural network (MCNN);wave computing;diffusion;trigger wave;edge detection
国家哲学社会科学文献中心版权所有