中国古代小说图像的语义获取方法  

Semantic Acquisition Approach for Chinese Ancient Storybook Image

作　　者：金聪[1] 金枢炜[2] 

机构地区：[1]华中师范大学计算机科学系,武汉430079 [2]武汉大学物理科学与技术学院,武汉430072

出　　处：《计算机与数字工程》2012年第5期95-97,共3页Computer & Digital Engineering

基　　金：教育部人文社会科学研究规划基金项目(No.11YJAZH040)资助

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 ap- plying improve genetic algorithm, some parameters and weights of neural network may be obtained. The trained neural network is used to ac- quire semantic of Chinese ancient storybook image. Experimental results show that the proposed approach has ideal effective, which can re- fleet understand for image content, and it has very good application value.

关 键 词：神经网络 图像语义 遗传算法 语义获取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]