Genetic Algorithm-Based Image Preprocessing for Volume Rendering Optimization

摘要：

Volume rendering is a central task in the medical image reconstruction and 3D visualization fields. A new method was proposed in this paper. Instead of optimization of the transfer function or the rendering shader construction, we focus the processing of the original data-set images. In early stage of the volume rendering pipeline, a series of image filters are applied to preprocess the source images. To assist the design of the processing filters, we also adopt the stochastic search algorithm to optimize the filters. Although only the GA method is analyzed, other algorithms can also be used during the process. Experiment results show that this method can optimize the quality of the volume rendered image effectively.

作者: ZHENG Zi-ran LIU Zhao-cheng LIU Xi-yu Du Ping

作者单位: School of Management and Economics, Shandong Normal University, Jinan,250014,China School of Management and Economics, Shandong Normal University, Jinan,250014,China Department of Man College of Computer Science and Technology, Shandong Institute Business and Technology, 264005, Chin

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 389-393

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）