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A Fast Image Retrieval Algorithm with Multi-Channel Textural Features in PACS
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作者 ZHANG Dong YANG Yan qin qian-qing 《Wuhan University Journal of Natural Sciences》 EI CAS 2005年第5期847-850,共4页
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 pred... 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. 展开更多
关键词 integer wavelet decomposition multi-channel textural feature medical image retrieval
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