An image segmentation algorithm based on ensemble learning

An image segmentation algorithm based on ensemble learning is proposed.First,several different image segmentation algorithms are used to produce many intermediate segmentation results.Then the intermediate image segmentation results are integrated with ensemble learning.Finally,the integrated output is adopted to image segmentation.The thresholding segmentation method,region growing segmentation method and FCM segmentation method are used in the experiments.Experimental results show that the quality of the proposed image segmentation algorithm based on ensemble learning technology significantly outperforms the best individual member.And the proposed method can be a good solution to incomplete image segmentation problem.At the same time,the performance of the proposed method is often more robust than a single algorithm.