Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (5): 199-202.
• 工程与应用 • Previous Articles Next Articles
JIANG Shao-feng1,2,CHEN Wu-fan1,FENG Qian-jin1,YANG Su-hua2
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江少锋1,2,陈武凡1,冯前进1,杨素华2
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Abstract: Fuzzy region based image retrieval algorithms and relevance feedback algorithms have been active research areas.However,most relevance feedback algorithms can’t be used in fuzzy region based image retrieval system because of the complexity of fuzzy similarity expression.To overcome the problem,this paper modifies the equation to calculate the fuzzy similarity and proposes a new relevance feedback method based on fuzzy features and the classical re-weighting relevance feedback algorithm.Cerebral hemorrhage CT image retrieval experiments show that the algorithm is efficient.
Key words: cerebral computerized tomography, fuzzy feature, region based CBIR, relevance feedback
摘要: 基于模糊区域特征的图像检索算法和关联反馈算法是当前图像检索领域的研究热点,由于区域模糊相似度的复杂性,绝大多数关联反馈算法不能应用到基于模糊区域特征的图像检索方法中。为解决这个问题,论文修改了模糊相似度计算方法,并结合经典的基于权重调整的关联反馈算法,提出一种基于模糊区域特征的关联反馈算法。对脑出血CT图像的检索实验结果表明该算法效果较好。
关键词: 脑出血CT图像, 模糊特征, 基于区域的图像检索, 关联反馈
JIANG Shao-feng1,2,CHEN Wu-fan1,FENG Qian-jin1,YANG Su-hua2. Fuzzy region based cerebral CT image retrieval and relevance feedback[J]. Computer Engineering and Applications, 2008, 44(5): 199-202.
江少锋1,2,陈武凡1,冯前进1,杨素华2. 基于模糊区域的CT脑图像检索及关联反馈[J]. 计算机工程与应用, 2008, 44(5): 199-202.
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http://cea.ceaj.org/EN/Y2008/V44/I5/199