An image edge detection and segmentation algorithm based on small-world phenomenon

Chen, Naijian; Wang, Sunan

doi:10.1109/iciea.2008.4582922

2008 3rd IEEE Conference on Industrial Electronics and Applications 2008

DOI: 10.1109/iciea.2008.4582922

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An image edge detection and segmentation algorithm based on small-world phenomenon

Naijian Chen

Sunan Wang

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Cited by 2 publications

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An improved chaos genetic algorithm and its application in parameter optimization for robot control system

Chen

Wang

et al. 2009

2009 4th IEEE Conference on Industrial Electronics and Applications

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To avoid premature convergence and trapping into local minimum, a chaos genetic algorithm based on population high-efficiency mutation(CGAPM) is presented. According to achievements in society and biology, small world network, characterized in clustering and small-world effect, is introduced into GA to change the mutation from randomness to directionality. The chaotic variables are considered to produced the initial population with logistic mapping and chaos disturbance is performed after small-world mutation, thus the searching efficiency and accuracy are improved. The simulation results show that the proposed algorithm is stabile and effective. And the optimization results in the trajectory tracking of wheeled mobile robot verify that the developed method can obtain more satisfied parameters for control system.

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An improved chaos genetic algorithm and its application in parameter optimization for robot control system

Chen

Wang

et al. 2009

2009 4th IEEE Conference on Industrial Electronics and Applications

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Machine Vision Based Information Collection of Mobile Manipulator for Moving Object Grasping

Chen¹,

Song²,

Li³

et al. 2013

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

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Abstract-To solve the problem of reliability and real time in visual perception of the mobile manipulator, a visual based information collection system integrated edge detection algorithm and tracking algorithm is proposed. In the vision system, an adaptable threshold edge detection algorithm based on the small world network is presented to improve the reliability and accuracy of edge detection and image segmentation, and the Meanshift algorithm is used to track the mobile objective in real time. Firstly, the edge detection algorithm based on small world phenomenon can adapt the threshold from the global to the local and it improves the ability of the mobile manipulator to find the moving object. Secondly, the edge detection results are used to initialize the target area of Meanshift algorithm, which then tracks the moving objective and extracts parameters' information automatically and real time. The proposed vision system not only meets the need of a mobile manipulator operating on moving objectives but also provides an effective method to find and track objectives automatically.

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An image edge detection and segmentation algorithm based on small-world phenomenon

Cited by 2 publications

References 14 publications

An improved chaos genetic algorithm and its application in parameter optimization for robot control system

An improved chaos genetic algorithm and its application in parameter optimization for robot control system

Machine Vision Based Information Collection of Mobile Manipulator for Moving Object Grasping

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