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基于简化自适应滤波的DSI图象降噪

DSI Image Noise Reducing Based on Simplified Self-Adaptive Filteing
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摘要 在分析数字胃肠造影机DSI序列图象特性的基础上,根据时域递归滤波原理,对非线性自适应滤波器进行改进,便于工程实现。用简化自适应滤波算法确定滤波系数,设计和实现了DSI序列图象的动态降噪,并抑制了快变图象的拖影,具有较好的动态跟踪效果。实验结果表明:图象降噪效果显著,提高了图象的信噪比,满足临床要求。 The characteristics of DSI series image has been analyzed. According to the time-recursive filtering principle, the non-linear self-adaptive filter is improved for convenient engineering implementation consideration. Filtering coefficient is obtained by the simplified self-adaptive model and DSI image noise reducer is designed and implemented. The filter reduces the noises of slow-change pictures and restrains the tailing of moving pictures. The dynamic tracking of image is very effective. The experimental results show that the signal noise ratio of image has been improved expectedly. The reducer can be widely used in clinic.
出处 《微计算机信息》 北大核心 2008年第18期307-308,314,共3页 Control & Automation
基金 北京市自然科学基金项目(4022008)名称:苛刻环境图象抗干扰通信机制与算法的研究
关键词 递归滤波 自适应滤波 DSI序列图象 降噪 recursive filtering serf-adaptive filtering DSI image series noisy reducing
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