中文摘要：

提出了一种基于集成学习技术的图像分割算法.该算法首先通过现有主流的图像分割算法对图像进行分割产生多个分割中间结果,然后利用集成技术对分割中间结果集进行集成,最后利用产生的集成结果对图像进行分割.实验使用了阈值分割算法、区域生长算法和FCM算法,实验结果表明基于集成技术的图像分割算法继承了各个算法的优点,弥补了单个算法的缺点,分割的效果好于采用单一分割算法的情况,很好地解决了图像分割中容易出现的不完全分割问题,同时较之于单一的算法,有更广的适用范围.

英文摘要：

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.