| A Fast Image Retrieval Algorithm with Multi-Channel Textural Features in PACS |
| |
| 作者姓名： | ZHANG Dong YANG Yan QIN Qian-qing |
| |
| 作者单位： | [1]School of Physics and Technology, Wuhan University, Wuhan 430072, Hubei, China [2]School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China [3]State Key Laboratory of Cartographical, Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, Hubei, China |
| |
| 基金项目： | Supported by the National Natural Science Foundation of China （69983005） |
| |
| 摘 要： | The paper presents a fast algorithm for image retrieval using multi-channel textural features in medical picture archiving and communication system （PACS）. By choosing different linear or nonlinear operators in prediction and update lifting step, the linear or nonlinear M-band wavelet decomposition can be achieved in M-band lifting. It provides the advantages such as fast transform, in-place calculation and integer-integer transform. The set of wavelet moment forms multi-channel textural feature vector related to the texture distribution of each wavelet images. The experimental results of CT image database show that the retrieval approach of multi-channel textural features is effective for image indexing and has lower computational complexity and less memory. It is much easier to implement in hardware and suitable for the applications of real time medical processing system.
|
| 关 键 词： | 图象恢复算法 图片通信系统 视频通信 多媒体技术 |
| 文章编号： | 1007-1202（2005）05-0847-04 |
| 收稿时间： | 2004-12-08 |
A fast image retrieval algorithm with multi-channel textural features in PACS |
| |
| ZHANG Dong YANG Yan QIN Qian-qing.A Fast Image Retrieval Algorithm with Multi-Channel Textural Features in PACS[J].Wuhan University Journal of Natural Sciences,2005,10(5):847-850. |
| |
| Authors: | Zhang Dong Yang Yan Qin Qian-qing |
| |
| Institution: | (1) School of Physics and Technology, Wuhan University, 430072 Wuhan, Hubei, China;(2) School of Electronic Information, Wuhan University, 430072 Wuhan, Hubei, China;(3) State Key Laboratory of Cartographical, Remote Sensing and Information Engineering, Wuhan University, 430079 Wuhan, Hubei, China |
| |
| Abstract: | The paper presents a fast algorithm for image retrieval using multi-channel textural features in medical picture archiving and communication system (PACS). By choosing different linear or nonlinear operators in prediction and update lifting step, the linear or nonlinear M-band wavelet decomposition can be achieved in M-band lifting. It provides the advantages such as fast transform, in-place calculation and integer-integer transform. The set of wavelet moment forms multi-channel textural feature vector related to the texture distribution of each wavelet images. The experimental results of CT image database show that the retrieval approach of multi-channel textural features is effective for image indexing and has lower computational complexity and less memory. It is much easier to implement in hardware and suitable for the applications of real time medical processing system. |
| |
| Keywords: | integer wavelet decomposition multi-channel textural feature medical image retrieval |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
