基于CNN动态的图像表示

2012 13th International Workshop on Cellular Nanoscale Networks and their Applications Pub Date : 2012-10-18 DOI:10.1109/CNNA.2012.6331407

Tang Tang, R. Tetzlaff

{"title":"基于CNN动态的图像表示","authors":"Tang Tang, R. Tetzlaff","doi":"10.1109/CNNA.2012.6331407","DOIUrl":null,"url":null,"abstract":"By taking advantage of their nonlinear dynamics Cellular Nonlinear Networks (CNN) are considered to be powerful tools for many image processing applications. In this paper we will try to investigate the feasibility of image representation by using CNN dynamics.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Image representation by means of CNN dynamics\",\"authors\":\"Tang Tang, R. Tetzlaff\",\"doi\":\"10.1109/CNNA.2012.6331407\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By taking advantage of their nonlinear dynamics Cellular Nonlinear Networks (CNN) are considered to be powerful tools for many image processing applications. In this paper we will try to investigate the feasibility of image representation by using CNN dynamics.\",\"PeriodicalId\":387536,\"journal\":{\"name\":\"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.2012.6331407\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2012.6331407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

细胞非线性网络(CNN)利用其非线性动力学特性，被认为是许多图像处理应用的强大工具。在本文中，我们将尝试通过使用CNN动态来研究图像表示的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Image representation by means of CNN dynamics

By taking advantage of their nonlinear dynamics Cellular Nonlinear Networks (CNN) are considered to be powerful tools for many image processing applications. In this paper we will try to investigate the feasibility of image representation by using CNN dynamics.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 13th International Workshop on Cellular Nanoscale Networks and their Applications

自引率

0.00%

发文量