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Design of a Medical Image Embedded Platform
Author: XuChangZhi
Tutor: YangBing
School: Xi'an University of Electronic Science and Technology
Course: Biomedical Engineering
Keywords: Medical Imaging Wavelet Transform BF561 Wireless Network
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 89
Quote: 3
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Abstract
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The development of computer technology, communication technology , and information theory , and to promote research, application and development of digital medical imaging . Secondary development and use in the construction of hospital information , telemedicine , and medical imaging , digital medical images increasingly extensive and in-depth research . Digital medical image compression and coding techniques , more comprehensive theory and algorithms . Designed BF561 embedded -based medical imaging platform . The platform has a wireless network transmission of medical images , decompressed and displayed , the diagnosis of a wireless video conferencing , audio and video file playback function . BF561 processor based on system hardware , software design and implementation , based on lifting wavelet transform image solution compression algorithm optimization and testing . Experiments show that the implementation based on lifting wavelet image compression technology can achieve a high compression ratio greatly save storage space , greatly shorten the time of the medical image transmission in the network , and BF561 processor can be a good implementation and optimization , and therefore more suitable for real-time radio transmission of the remote medical diagnosis and medical imaging . In addition , due to the multi - resolution characteristics of wavelet transform , so that the compressed stream with an image resolution of classification and quality grading characteristics of to facilitate medical imaging tiered progressive transmission and resolution of the stream Browse .
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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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