关键词: 服装图像, 特征融合, 概率神经网络, 语义分类

Abstract: The methods that based on color or color-space features for image semantic classification are simple and efficiently，but no consider the shape feature of the object in the image，so its classification result always not ideally.The paper uses cloth image as date，proposes a new image classification method which base on multi-features including the color feature and the shape feature.The relationship between high-level emotional and level features is strongly.The paper brings forward the relationship between high-level emotional representation and perceptual level features based on the clothing image.Classification is performed by PNN（Probabilistic Neural Networks）.The experiment indicates that this method is great effective in image semantic classification and improves the image semantic classification precision.

Key words: image of clothing, multi-features, Probabilistic Neural Networks（PNN）, semantic classification