Discrete-Time Dynamic Image Segmentation Based on Oscillations by Destabilizing a Fixed Point
Discrete-Time Dynamic Image Segmentation Based on Oscillations by Destabilizing a Fixed Point
复制标题
基于定点振荡的离散时间动态图像分割
DOI：
10.1002/tee.20683
复制
发表时间：
2011
影响因子：
1
通讯作者：
Ken'ichi Fujimoto
中科院分区：
文献类型：
--
作者：
伊藤聡志;宮林弘治;山田芳文;佐々木勝平,大坊真洋;Kenichi Ohshima and Fumio Kojima;Ken'ichi Fujimoto
我们开发了一个离散时间动力系统，该系统由全局抑制器和混沌神经元组成，可以产生振荡响应。我们还发现，我们的系统可以作为一个动态图像分割系统，利用混沌神经元的振荡响应。动态图像分割是从静态图像中分别提取孤立的图像区域，并根据混沌神经元的振荡响应将分割后的图像按时间序列表现出来。在一定的参数值下，混沌神经元可以产生足够的振荡响应用于动态图像分割。然而，它们对于某些初始值产生非振荡响应，这是由于与非振荡响应对应的稳定不动点的共存。它们的出现表明我们的系统不能作为动态图像分割系统工作。在这项研究中，我们设计了一个稳定的不动点，以防止它的出现。我们还证明，我们的系统与设计的不稳定工作良好。© 2011日本电气工程师协会。出版社：John Wiley & Sons，Inc.
We have developed a discrete‐time dynamical system consisting of a global inhibitor and chaotic neurons that can generate oscillatory responses. We have also found that our system can work as a dynamic image‐segmentation system utilizing oscillatory responses of chaotic neurons. Dynamic image segmentation is to severally extract isolated image regions from a static image and is to exhibit segmented images in time series according to oscillatory responses of chaotic neurons. At certain parameter values, chaotic neurons can generate adequate oscillatory responses for dynamic image segmentation. However, they generate non‐oscillatory responses for certain initial values due to the coexistence of a stable fixed point corresponding to non‐oscillatory responses. Their appearances indicate that our system does not work as a dynamic image‐segmentation system. In this study, we designed a destabilizer for a stable fixed point to prevent its appearance. We also demonstrated that our system with a designed destabilizer worked well. © 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.