利用模糊认知度从图像纹理中提取情感语义  

Extracting emotional semantics from texture image by fuzzy recognize degree

作　　者：郭翠英[1] 李海芳[2] 

机构地区：[1]山西青年管理干部学院计算机系,太原030001 [2]太原理工大学计算机与软件学院,太原030024

出　　处：《计算机工程与应用》2009年第33期171-174,232,共5页Computer Engineering and Applications

摘　　要：图像的低层视觉特征(颜色、纹理和形状等)中包含着大量人类可感知的情感语义信息。利用纹理特征,提出一种新的索引方法-FRD(Fuzzy Recognize Degree,模糊认识度)聚类法,用来描述与情感相关联的语义图像。FRD聚类法使用三个感性的纹理特征:方向性、对比度和粗糙度,生成FRD值。从高层的情感概念进行图像检索。实验图像采用自然景观图片,验证了新方法的良好性能。The low-level visual features（color,texture and shape） in image contain lots of emotional semantics information with human perception.In this paper a new indexing scheme is proposed,called FRD（Fuzzy Recognize Degree） clustering using the texture feature.This method has allowed us to retrieve images for emotion-assisted semantic analysis based on high-level affective concepts.For this purpose,a set of perceptual relevant features is introduced： directionality,contrast and coarseness.Experiment has been conducted to a collection of natural images,and the result shows the high performance of the proposed technique.

关 键 词：模糊认知度(FRD) 情感语义 纹理 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]