中国古代小说图像的语义获取方法

摘要

针对中国古代小说图像的特性,提出了一种利用人工神经网络获取图像语义的方法.利用人工神经网络在图像的纹理、形状等低层视觉特征和高层语义特征间建立映射关系,利用改进的遗传算法确定人工神经网络的参数和权值,利用训练后的人工神经网络获取图像的语义.实验结果表明,所提出的方法具有理想的图像语义获取效果,能充分反映人对图像内容的理解,具有很好的应用价值.%For the character of Chinese ancient storybook image, a semantic acquisition approach is proposed in this paper. By neural network,the mapping between the primitive image features, such as textures and shapes, and semantic features is established. Through applying improve genetic algorithm, some parameters and weights of neural network may be obtained The trained neural network is used to acquire semantic of Chinese ancient storybook image. Experimental results show that the proposed approach has ideal effective, which can reflect understand for image content, and it has very good application value.