Research on Removing Noise in Medical Image Based on Median Filter Method

摘要：

Removing salt-and-pepper noise in medical images plays a very important role for the preprocessing modules of virtual endoscope system. Traditional median filter and an adaptive median filter are implemented, and their effectivity on denoising is evaluated by PSNR and destroyness degree of noise to original image. Research and analyze the influence of the filter window size and the spatial density of noise on the quality of denoised image also. Simulation results based on Matlab show that the two methods can eliminate the salt-and-pepper noise in CT and MRI medical images and preserve the edges and detail information of the objects. Both of the two methods have been used in the virtual endoscope system, and the filtering performance is very satisfactory.

作者: NING Chun-yu LIU Shu-fen QU Ming

作者单位: Department of Computer Science and Technology, Jilin University,Changchun, 130012, China School of L Department of Computer Science and Technology, Jilin University,Changchun, 130012, China Department of Computer Science and Technology, Jilin University, Changchun, 130012, China

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: 384-388

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）