Color Image Segmentation Based on Ant Colony - FCM Hybrid Algorithm


An Ant Colony — FCM hybrid algorithm is proposed for color image segmentation in this paper. First, edge detection is achieved by Canny Operator, then image pixels are clustered within two steps. In the first step, image pixels are clustered based on improved Ant Colony optimization in the RGB color space, with the cluster result initializing cluster centers and the center number for the Fuzzy C-Means algorithm in the second step. Experimental results show that the proposed algorithm has the advantage of overall optimization and can obtain relatively good segmentation results.

  • Abstract
  • Introduction
  • Image Segmentation Using Ant Colony Algorithm
  • Improved Image Segmentation Algorithm Based on ACO
  • Segmentation based on Ant Colony — FCM hybrid algorithm
  • Experimental Results
  • Conclusions
  • Acknowledgements
  • Reference

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