基于模糊区域的CT脑图像检索及关联反馈

计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (5): 199-202.

基于模糊区域的CT脑图像检索及关联反馈

江少锋^1,2,陈武凡¹,冯前进¹,杨素华²

1.南方医科大学医学图像处理实验室，广州510515
2.南昌航空大学，南昌330063

收稿日期:2007-06-04 修回日期:2007-10-23 出版日期:2008-02-11 发布日期:2008-02-11
通讯作者: 江少锋

Fuzzy region based cerebral CT image retrieval and relevance feedback

JIANG Shao-feng^1,2,CHEN Wu-fan¹,FENG Qian-jin¹,YANG Su-hua²

1.Key Lab for Medical Image Processing，South Medical University，Guangzhou 510515，China
2.Nanchang Hangkong University，Nanchang 330063，China

Received:2007-06-04 Revised:2007-10-23 Online:2008-02-11 Published:2008-02-11
Contact: JIANG Shao-feng

摘要/Abstract

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

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

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.

JIANG Shao-feng^1,2,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.

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