A Novel CT Image Dynamic Fuzzy Retrieval Method Using Curvelet Transform

摘要：

Curvelet transform as time-frequency and multiresolution analysis tool is often used in the domain of image processing, especially for image characteristic extraction. This paper proposes a novel CT image retrieval method which is combining curvelet transform and dynamic fuzzy theory. Firstly, the image was decomposed by curvelet transform to obtain the different subbands coefficients. Then the entropy from certain subband was calculated, and a membership function based on dynamic fuzzy theory was constructed to adjust the weight of coefficients similarity. At last a model was constructed to obtain the similarity degree for CT image retrieval. The precision of our model could be applied to CT image retrieval practically.

关键词： fuzzy retrieval curvelet transform similarity degree CT image

作者: Guangming Zhang Zhiming Cui Shengrong Gong

作者单位: The Institute of Intelligent Information Processing and Application Soochow University,Suzhou 215006 The Institute of Intelligent Information Processing and Application Soochow University,Suzhou 215006

会议类型: 国际会议

会议名称: The Second International Conference on High Performance Computing and Applications(第二届高性能计算及应用国际会议)

会议地点: 上海

会议语种:英文

页码: 557-562

在线出版日期: 2009-08-10（万方平台首次上网日期，不代表论文的发表时间）