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基于Gabor滤波器和相关反馈的医学图像检索
引用本文:马永军,吴惊道.基于Gabor滤波器和相关反馈的医学图像检索[J].天津轻工业学院学报,2010(4):60-63.
作者姓名:马永军  吴惊道
作者单位:天津科技大学计算机科学与信息工程学院,天津300222
基金项目:天津市科技支撑计划重点资助项目(08ZCKFGX00600)
摘    要:针对医学图像检索问题,提出了一种结合Gabor滤波器和相关反馈的医学图像检索算法.首先,采用Gabor滤波器的方法对医学图像进行纹理特征提取,计算图像相似度;然后,利用相关反馈技术调整图像之间的相似度,改善图像检索过程中的人机交互性能.实验表明,通过相关反馈,该方法有效地提高了检索结果的查准率、查全率.

关 键 词:医学图像  检索  Gabor滤波器  图像纹理  特征提取  相关反馈

Medical Image Retrieval Based on the Gabor Filter and Relevance Feedback
MA Yong-jun,WU Jing-dao.Medical Image Retrieval Based on the Gabor Filter and Relevance Feedback[J].Journal of Tianjin University of Light Industry,2010(4):60-63.
Authors:MA Yong-jun  WU Jing-dao
Affiliation:(College of Computer Science and Information Engineering,Tianjin University of Science & Technology,Tianjin 300222,China)
Abstract:For the problem of medical image retrievalt,he technology of medical image retrieval based on the Gabor filter and relevance feedback was proposed.Using the method of Gabor filter texture feature can be extracted firstlyt,hen the similarity calculated between the two images was adjusted by the technology of relevance feedback to improve the performance of human-computer interaction in the image retrieval.Experiments show that this method can effectively improve the recall ratio and precision ratio in the retrieval result by the relevance feedback.
Keywords:medical image  retrieval  Gabor filter  image texture  feature extraction  relevance feedback
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