【摘要】 支持向量机方法被看作是对传统学习分累方法的一个好的替代,特别在小样本、高维情况下,具有较好的泛化性能。针对一对一支持向量机方法进行了改进,并采用其对多目标图像进行了分割研究。实验结果表明,支持向量机方法是一种很有前景的图像分割技术。更多还原

【Abstract】 Support vector machine approach is considered as a good candidate because of its good generalization performance,especially when the number of training samples is very small and the dimension of feature space is very high.In this paper,an improved one-against-one support vector machine is proposed and the segmentation of multi-target image based on the improved one-against-one support vector machine approach is investigated.Experimental results show that support vector machine approach is a promising technique for image segmentation.更多还原