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Year 2000, Volume: 1 Issue: 2, 175 - 180, 01.07.2000
https://izlik.org/JA84NW78BS

Abstract

Bu makalede, 2 boyutlu görüntüler geciktirilmiş hücresel yapay sinir ağı GHYSA ile incelenmiştir. GHYSA ilk defa 1993 yılında tanıtılmıştır. Gecikme m iktarı belirli bir değerden küçük seçilmesi halinde, asimptotik kararlılık sağlanır. Özellikle son yıllarda, görüntünün hareketli olan kısmı diğer bölgelere göre daha önemli olabilmektedir. Tıp biliminde, kanserli hücrelerin yönelimini GHYSA ile belirlem ek çok önem taşımaktadır. Burada Java dilinde yazılım gerçekleştirilmiş ve yapay örnekler için iyi sonuçlar elde edilmiştir

References

  • CIVALLERI, P. P., GILLI M. and PANDOLFI, L. (1993), "On Stability of Cellular Neural Networks with Delay" IEEE Trans. Circuit System.Vol. 40, No.3.
  • CHUA, L. O. . and YANG, L. (1988), "Cellular Neural Networks: Theory", IEEE Trans. Circuit System.Vol. 33, No.15.
  • LEON O.C. and LIN Y. (1988), "Cellular Neural Networks: Applications", IEEE Trans. Circuit System.Vol. 35, No.10.
  • GELGON, M., BOUTHEM Y, P. (1996), "A Region-level Graph Labeling Approach To M otion-Based Segmentation", Institut National de Recherche en Inform atique et en Automatique.
  • CIMAGALLI, V. and BALSI, M. (1993), "Cellular Neural Networks : Areview" Proceedings of Sixth Italian Workshop on Parallel Architectures an Neural Networks. Vietry sul Mare, Italy, May 12-14, World Scientific.

MOVING OBJECT DETECTION USING DELAYED-CELLULAR NEURAL NETWORK

Year 2000, Volume: 1 Issue: 2, 175 - 180, 01.07.2000
https://izlik.org/JA84NW78BS

Abstract

In this paper, we have studied moving objects in 2-D images using Delayed Cellular Neural Network DCNN . DCNN was first introduced in 1993. It is shown that for a network whose cells are specified, complete asymptotic stability providing the delay is less than a bound which depends on only the cell parameters. Especially nowadays, only moving part of the whole image is getting more important according to the practical cases such as estimation of biomedical issues which is enlarging due to the cancer property. We have used Java language for our synthetic examples and satisfactory results were obtained.

References

  • CIVALLERI, P. P., GILLI M. and PANDOLFI, L. (1993), "On Stability of Cellular Neural Networks with Delay" IEEE Trans. Circuit System.Vol. 40, No.3.
  • CHUA, L. O. . and YANG, L. (1988), "Cellular Neural Networks: Theory", IEEE Trans. Circuit System.Vol. 33, No.15.
  • LEON O.C. and LIN Y. (1988), "Cellular Neural Networks: Applications", IEEE Trans. Circuit System.Vol. 35, No.10.
  • GELGON, M., BOUTHEM Y, P. (1996), "A Region-level Graph Labeling Approach To M otion-Based Segmentation", Institut National de Recherche en Inform atique et en Automatique.
  • CIMAGALLI, V. and BALSI, M. (1993), "Cellular Neural Networks : Areview" Proceedings of Sixth Italian Workshop on Parallel Architectures an Neural Networks. Vietry sul Mare, Italy, May 12-14, World Scientific.
There are 5 citations in total.

Details

Primary Language English
Authors

Osman Nuri Uçan This is me

Lokman Ağırman This is me

Publication Date July 1, 2000
IZ https://izlik.org/JA84NW78BS
Published in Issue Year 2000 Volume: 1 Issue: 2

Cite

APA Uçan, O. N., & Ağırman, L. (2000). MOVING OBJECT DETECTION USING DELAYED-CELLULAR NEURAL NETWORK. Doğuş Üniversitesi Dergisi, 1(2), 175-180. https://izlik.org/JA84NW78BS