基于决策树和模糊SVM的图像情感分类研究

Study on image emotional classification based on decision tree and fuzzy SVM

将二叉决策机制融入到模糊支持向量机分类系统中,对图像进行情感语义层面的分类。其难点在于建立从图像的低阶特征到高层情感语义之间的映射关系,以及合理的参数选择问题。采用与决策树方法相结合,实现了多类分类。实验结果表明,本系统在图像情感分类中具有简单、快速、高效等特点。

The emotional semantic level classified methods of images were investigated in this paper according to the idea of decision tree and fuzzy support vector machine.The difficulty is to establish a mapping from image features to image semantics and make a reasonable parameter selection.Integrating the decision tree method,the classification of multi-classes was realized.The result demonstrate that the system is simple,fast,highly effective and so on in the image emotional classification.