Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications最新文献

Non-saturated binary image learning and recognition using the ratio-memory cellular neural network (RMCNN) 基于比例记忆细胞神经网络的非饱和二值图像学习与识别

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-24 DOI: 10.1109/CNNA.2002.1035104

Chung-Yu Wu, Chieh-Yu Hsieh, Sheng-Hao Chen, B. C. Hsieh, Cheng-Ruei Chen

引用次数: 2

The role of field coupling in nano-scale cellular nonlinear networks 场耦合在纳米细胞非线性网络中的作用

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035029

W. Porod, G. Csaba, Á. Csurgay

引用次数: 4

Programmable optical CNN implementation based on the template pixels' angular coding 基于模板像素角编码的可编程光学CNN实现

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035027

S. Tõkés, L. Orzó, T. Roska

{"title":"Programmable optical CNN implementation based on the template pixels' angular coding","authors":"S. Tõkés, L. Orzó, T. Roska","doi":"10.1109/CNNA.2002.1035027","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035027","url":null,"abstract":"Within the programmable opto-electronic analogic computer (POAC) framework a new, feed forward only optical CNN-UM implementation has been introduced. It is grounded on an innovative semi-incoherent optical correlator architecture. Angular coding of the template pixels determines the operation of this optical CNN implementation, therefore it is real time and flexibly programmable. We have demonstrated its feasibility and operation by an experimental setup. Our correlator architecture makes it possible to execute algorithms real time, which cannot be done by any other existing optical correlator so far. Our architecture unifies the advantages of coherent and incoherent optical correlators, provides a more robust frame and avoids their main hindrances. In the POAC framework the resulting correlogram is measured by a programmable adaptive sensor array, a special visual CNN-UM chip. So, local parallel programs fulfill both the necessary pre and post processing with the required adaptive thresholding. However, because of the limited resolution of available visual CNN chips (28/spl times/28), all-optical optical pre- and post-processing will be used, as well.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123081869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Hardware-oriented algorithm for associative memories on cellular neural networks 面向硬件的细胞神经网络联想记忆算法

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035092

R. Perfetti, M. Salerno, G. Costantini

引用次数: 0

Application of analogic CNN algorithms in telemedical neuroradiology 模拟CNN算法在远程医疗神经放射学中的应用

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035098

T. Szabó, P. Barsi, P. Szolgay

引用次数: 13

Future visual microsensors for mini/micro-UAV applications 用于微型/微型无人机应用的未来视觉微传感器

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035087

G. Barrows

{"title":"Future visual microsensors for mini/micro-UAV applications","authors":"G. Barrows","doi":"10.1109/CNNA.2002.1035087","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035087","url":null,"abstract":"New classes of small and micro-sized UAVs, with wingspans on the order of meters and tens of centimeters, respectively, present interesting challenges to the field of autonomous flight enabling sensing and control technologies. There is currently a desire to develop a sensor/control suite that will allow such UAVs to fly through complex environments, such as in an \"urban canyon\" or underneath a forest canopy, at altitudes of just meters above the ground. The development of such capabilities requires new approaches for perceiving the environment. There is an increasing interest in borrowing ideas from flying animals such as insects, which are able to fly through such environments with high reliability. This has led to the development of optical flow sensing techniques that currently are able to provide such capabilities as altitude control and terrain following. However, more difficult tasks such as flying in the urban canyon or in a forest require advances in image processing that allow obstacles to be reliably detected by a machine vision package weighing tens of grams, including all optics, hardware, and software. A blueprint for such a visual sensor is proposed that makes use of anticipated developments in microelectronic technology. With disciplined \"best engineering practices\", cellular nonlinear network techniques can make significant contributions to the development of such sensors.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124640690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22

An accelerated digital CNN-UM (CASTLE) architecture by using the pipe-line technique 采用流水线技术的加速数字CNN-UM (CASTLE)架构

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035070

T. Hidvégi, P. Keresztes, P. Solgay

引用次数: 7

Watermarking for the authentication of video on CNN-UM 基于CNN-UM的视频水印认证

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035038

P. Arena, A. Basile, L. Fortuna, M. Yalçin, J. Vandewalle

引用次数: 3

Analogue weighted median filter based on cellular neural network for standard video signal processing 基于细胞神经网络的模拟加权中值滤波用于标准视频信号处理

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035106

J. Kowalski

引用次数: 4

Obstacle detection in planar worlds using cellular neural networks 基于细胞神经网络的平面障碍物检测

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035074

D. Feiden, R. Tetzlaff

引用次数: 10