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计算机工程 ›› 2009, Vol. 35 ›› Issue (20): 212-215. doi: 10.3969/j.issn.1000-3428.2009.20.076

• 图形图像处理 • 上一篇    下一篇

基于FRD的图像纹理情感语义提取

王 莉   

  1. (山西大同大学数学与计算机科学学院,大同 037009)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-10-20 发布日期:2009-10-20

Emotional Semantics Extraction from Image Texture Based on Fuzzy Recognize Degree

WANG Li   

  1. (School of Mathematical and Computer Science, Shanxi Datong University, Datong 037009)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-10-20 Published:2009-10-20

摘要: 图像的低层视觉特征(颜色、纹理和形状)中包含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——模糊认识度(FRD)聚类法,用来描述与情感相关联的语义图像。FRD聚类法能从高层的情感概念出发进行图像检索。索引使用3个感性的纹理特征:方向性,对比度和粗糙度生成FRD值。实验采用室内装饰图片,结果表明,该方法性能较好。

关键词: 模糊认知度, 情感语义, 纹理

Abstract: The low-level visual features(color, texture and shape) in image implicate lots of emotional semantics information with human perception. This paper proposes a new indexing scheme, called Fuzzy Recognize Degree(FRD) clustering using the texture feature. This method allows 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. Collecting indooor decoration images, experimental result shows the high performance of the proposed technique.

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

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