Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (33): 171-174.DOI: 10.3778/j.issn.1002-8331.2009.33.056

• 图形、图像、模式识别 • Previous Articles     Next Articles

Extracting emotional semantics from texture image by fuzzy recognize degree

GUO Cui-ying1,LI Hai-fang2   

  1. 1.Department of Computer,Shanxi College for Youth Administrators,Taiyuan 030001,China
    2.College of Computer and Software,Taiyuan University of Technology,Taiyuan 030024,China
  • Received:2009-03-31 Revised:2009-05-25 Online:2009-11-21 Published:2009-11-21
  • Contact: GUO Cui-ying

利用模糊认知度从图像纹理中提取情感语义

郭翠英1,李海芳2   

  1. 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
  • 通讯作者: 郭翠英

Abstract: 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.

Key words: Fuzzy Recognize Degree(FRD), emotional semantics, texture

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。

关键词: 模糊认知度(FRD), 情感语义, 纹理

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