Fast Thresholding Segmentation for Image with High Noise

摘要：

In order to improve the segmentation effect of image with high noise,a fast thresholding segmentation method is proposed.Based on two-dimension histogram of image,parallel segmentation approach is introduced.Two-dimension thresholding problem is converted into one-dimension thresholding problem by projection.At the same time,the noise in image is filtered with neighborhood average.The experimental result shows that,the proposed method greatly increases computational speed,reduces noise influences on segmentation result,and finally removes noise pixels.

关键词： two-dimension histogram.thresholding segmentation.two-dimension projection.Fisher criterion function.

作者: Hui Zhao Chaojing Tang Tao Yu

作者单位: College of Electronic Science and Engineering National University of Defence Technology Changsha,Hun Jiangnan Institute of Computing Technology Wuxi,Jiangsu Province 214083,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 290-295

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）