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计算机工程 ›› 2006, Vol. 32 ›› Issue (23): 180-182. doi: 10.3969/j.issn.1000-3428.2006.23.064

• 人工智能及识别技术 • 上一篇    下一篇

基于灰色系统理论的多特征相关反馈图像检索

江祥奎,原思聪,王发展   

  1. (西安建筑科技大学机电工程学院,西安 710055)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-12-05 发布日期:2006-12-05

Multi-feature Relevance Feedback Image Retrieval
Based on Grey System Theory

JIANG Xiangkui, YUAN Sicong, WANG Fazhan   

  1. (School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055)
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-12-05 Published:2006-12-05

摘要: 探讨了灰色系统理论在相关反馈图像检索中的应用,提出了一种基于灰色系统理论的相关反馈图像检索算法,动态地更新查询向量,从而使图像检索结果与人的主观感知更加接近,具有自适应性。实验结果表明,文中的方法是很有效的。

关键词: 灰色系统, 灰数, 相关反馈, 基于内容的图像检索

Abstract: The paper discusses the application of grey system theory to image retrieval using relevance feedback and proposes a kind of image retrieval algorithm using relevance feedback based on grey system theory. It dynamically updates the query vectors in order to make image retrieval results nearer to people’s subjective perception, so it has the character of self-adaptation. The experiment results indicate that the method in the article is very effectual.

Key words: Grey system, Grey number, Relevance feedback, Content-based image retrieval