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中文摘要：
多媒体技术的发展导致数字图像迅速增长，如何根据语义特征高效检索出满足用户要求的图像，已成为当前各行业迫切需要解决的问题。为此提出一种基于颜色、纹理和形状三种语义特征的图像检索方法，建立了颜色和纹理特征的语义描述，使用BP神经网络实现了低层视觉特征到高层语义特征的映射。选取Corel图像库作为测试图像库，实验通过与基于颜色语义特征的检索方法相比较，取得了良好的实验效果。
英文摘要：
The development of multimedia technology has resulted in the rapid growth of digital images. It has become an urgent problem to retrieve images which can better meet the users＆#39; requirements according to semantic features. A method on image retrieval based on three local features of color,texture and shape is proposed. The method builds semantic description of color and texture features,uses BP neural network to implement the mapping between low visual features and semantic features. Using Corel image database as testing image database,experiments have achieved good effect compared with the method only based on color semantic feature.
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