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机构地区:[1]江苏科技大学电子信息学院,江苏镇江212003
出 处:《微计算机信息》2007年第27期300-302,共3页Control & Automation
基 金:江苏省社会发展基金资助项目(2005DX015J)
摘 要:结合小波变换和Mallat算法,提出了一种渐进式体绘制方法。在服务器端利用小波多分辨率将体数据分解为不同分辨率的离散逼近信号和细节信号;客户端重构时,先传输离散逼近信号再传输细节信号逐步细化图像。实验表明该方法只需12.5%或更少的体数据就能绘制出品质较好的图像,适用于数据量大、交互频繁的PACS系统。Based on 3D wavelet transform and Mallat algorithm, a method of gradually volume rendering which is propitious to PACS is proposed. The volume data is decomposed into the discrete approximation and detail coefficients by wavelet multi-resolution analyzing in the server. While investigating image in the client’s workstation, the discrete approximation is first transformed and low resolution image is first rendered. Then gradually refine the image as the detail coefficients successively arriving till the quality of the image is satisfied. The experiment results show that high-quality images can be produced in 12.5 percent or less of volume data by this method.So it is highly propitious to the PACS for frequently selecting and interacting images in which volume data is huge.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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