基于Cascade的增量式组合分类算法研究

Research on combined classifier algorithm based on cascade

利用Learn++思想对Cascade组合分类器进行了改进,提出了一种基于Cascade的增量式组合分类算法,并将之应用到肝脏图像的分类中。实验结果表明,与原有组合分类器相比,该增量式组合分类方法可以在保证分类准确度的前提下有效地提高新增样本的学习效率。

The Learn＋＋ method is applied to improve the Cascade combined classifier,and is applied to lung images classification.The experiment results show that the incremental combined classification method can obviously improve the efficiency at the precondition that assure the accuracy compared with combined classifier.