【作者】 赵海英； 彭宏；

【Author】 Haiying Zhao Hong PengXinjiang Normal University. Xinjiang,Wulumuqi, 830013

【机构】 新疆师范大学；

【摘要】 在基于内容的图像检索中,大部分工作主要集中在提高检索系统的独立性和全自动性方面。由于存在着低层语义特征与高级概念间的差距、视觉感知的主观性等因素影响,使已有的许多检索方法受到了限制。在已提出的基于相关反馈的检索方法基础上,通过引入动态规划的思想结合相关反馈机制的优化,进一步逼近最优解,以提高了图像的检索效果。更多还原

【Abstract】 We has got more and more attention to improve retrieval system’s complete independence and automaticity in Content_based image retrieval (CB1R). Because these factors of low-level features cannot always capture the high-level concept of similarity in human perception, many approach of retrieval are limited. In this paper, On the basis of image retrieval system with relevance feedback, using a combination of dynamic layout and relevance feedback, Retrieval experiments using real image database show that the method of retrieval is better.更多还原