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>Hierarchical genetic image segmentation algorithm based on histogram dichotomy
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Hierarchical genetic image segmentation algorithm based on histogram dichotomy
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机译:基于直方图二分法的分层遗传图像分割算法
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摘要
A new hierarchical distributed genetic algorithm (HDGA) for image segmentation is proposed based on histogram dichotomy without an a priori number image regions. It can take advantage of statistical information and spatial information to segment an image. Experimental results show that HDGA outperforms the distributed genetic algorithm (DGA) in both computational efficiency and segmentation quality.
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