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The Ant Task Allocation algorithm is proposed for task allocation in multi-agent systems, which is inspired by the swarm intelligence of social insects. The Ant Task Allocation algorithm is a variation of the Ant Colony Optimization, in which the task selection model of honeybees is adopted. In the simulation experiments, the Ant Task Allocation algorithm achieves efficient and reasonable task allocation...
The local fuzzy fractal dimension (LFFD) is proposed as a novel representation of local image complexity. The definition of LFFD is an extension of the box-counting dimension of discrete sets by incorporating the fuzzy set. The relationship between LFFD and local intensity changing is investigated by experiments, which proves that LFFD is an important feature of edges and is insensitive to noises...
The scale-rate is presented as the measurement of local complexity for digital images and signals, which is proved to be a feature of local edge area in images. The multi-feature edge detection and automatic moving vehicle detection are implemented. The experimental results indicate the effectiveness of the proposed methods.
The swarm intelligence technique is applied in image processing for feature extraction. The perceptual graph is proposed to represent the relationship between adjacent image points. The ant colony system is applied to build the perceptual graph. In the experiments, edge extraction and image segmentation are implemented with the proposed method, which show that the artificial ant swarm can effectively...
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