Image Segmentation Algorithm Research for Sport Graphics based on Artificial Life

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.