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Wenchao Zhang,Caigen Zhou,Xinxin Bao 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.2
With the continuous development of computer science and technology, image processing and analysis gradually form the scientific system. Although history of image processing is not long, it attracts many researchers study on it. Digital media image widely exists in many fields, such as education, video, advertisement, and so on. Process digital media image is an important part of image processing. When analyze the digital media image, we want to extract the image part we care from the original image and then method for image segmentation is quite important. That is to say that the image segmentation will divide the image into a number of regions with specific and unique nature. How to keep the original characteristics of the digital media image is quite important in the image segmentation. In this paper, we propose a new algorithm for digital media image segmentation, and it is also can be used in the image processing. The algorithm is based on asynchronous particle swarm optimization algorithm to obtain the adaptive threshold; take the inertia factor into the algorithm, the optimal threshold has been acquired for the image segmentation. Compared with other particle swarm optimization algorithm, the algorithm has the advantages of stable, easy to converge to the optimal solution, and high segmentation speed.
Consensus of Multi-agent Systems with Dead-zone Nonlinearity
Haibo Jiang,Liping Zhang,Jianjiang Yu,Caigen Zhou 제어·로봇·시스템학회 2012 International Journal of Control, Automation, and Vol.10 No.4
In this paper, we investigate the consensus problem of multi-agent systems with dead-zone nonlinearity over undirected networks. Firstly, a control protocol is designed based on the local infor-mation of agents. Then by LaSalle’s invariance principle for non-smooth systems, we prove that if the undirected graph is connected then the consensus is achieved by the proposed control protocol. Sec-ondly, sufficient conditions are given to guarantee the consensus of multi-agent systems with dead-zone nonlinearity and switching topologies by Lyapunov method. Finally, numerical simulations show the effectiveness of our theoretical results.
Impulsive Output Consensus of Networked Passive Systems
Haibo Jiang,Liping Zhang,Jianjiang Yu,Caigen Zhou 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.6
In this paper, we study the problem of impulsive output consensus of multi-agent dynamical systems, where each agent is a passive system. Firstly, an impulsive control protocol is designed for networked passive systems based on the local information of agents. Secondly, sufficient conditions are derived to guarantee the output consensus of the multi-agent dynamical systems for the network with fixed and switching topologies, respectively. Finally numerical simulations are included to show the effectiveness of our theoretical results.