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Image segmentation algorithm research for sport graphics based on artificial life

机译:基于人工生命的运动图形图像分割算法研究

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In this paper, linking with the basic principle of artificial life for image segmentation, on the basis of theory research, The segmented partitions emerge when the state of the lives reaches an equilibrium. The artificial life approach is promising in image processing because it is inherently parallel and coincides with the self-governing biological process. The final segmentation result is achieved at last. The experiments demonstrate the feasibility of the artificial life approach on both intensity images and color images. The experiment results prove that in the view of the sport image segmentation, this algorithm provides fast segmentation with high perceptual segmentation quality.
机译:本文结合人工生命的基本原理进行图像分割,在理论研究的基础上,当生命状态达到平衡时,分割出的分区就会出现。人造生命方法在图像处理中很有前途,因为它本质上是平行的,并且与自治的生物过程相吻合。最终获得最终的分割结果。实验证明了人工生命方法在强度图像和彩色图像上的可行性。实验结果证明,从运动图像分割的角度出发,该算法提供了快速的分割,具有较高的感知分割质量。

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