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Articles by Xiaoping Zeng
Total Records ( 2 ) for Xiaoping Zeng
  Yongming Li , Sujuan Zhang and Xiaoping Zeng

Search algorithm is an essential part of feature selection algorithm. In this paper, through constructing double chain-like agent structure and with improved genetic operators, the authors propose one novel agent genetic algorithm-multi-population agent genetic algorithm (MPAGAFS) for feature selection. The double chain-like agent structure is more like local environment in real world, the introduction of this structure is good to keep the diversity of population. Moreover, the structure can help to construct multi-population agent GA, thereby realizing parallel searching for optimal feature subset. In order to evaluate the performance of MPAGAFS, several groups of experiments are conducted. The experimental results show that the MPAGAFS cannot only be used for serial feature selection but also for parallel feature selection with satisfying precision and number of features.

  Guojin Liu , Xiaoping Zeng , Fengchun Tian , Zhengzhou Li and Kadri Chaibou

To smooth out speckle noise and preserve edge information in noisy images, a novel algorithm called speckle reduction by adaptive window anisotropic diffusion is proposed. Based on the image's structure, the proposed method can adaptively modulate its window size and orientation. This adaptive window method can calculate the instantaneous coefficient of variation for the edge area with more accuracy than a fixed window method. Furthermore, a novel method for finding the diffusion coefficient is presented. The experimental results show that compared with existing methods, the performance of the proposed method is satisfactory in terms of both speckle suppression and preservation of image details.

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