A PCNN improved with Fisher criterion for infrared human image segmentation

摘要：

　　Infrared human image is not enough contrasted,and gray overlap between background and human targets.A PCNN improved with Fisher criterion image method is proposed for these problems.The fisher criterion-based segmentation method achieve good segmentation in low image contrast.PCNN segmentation method is suitable for image with gray overlap between object and background.Combined these two method solves these two problems.Setting up dynamic threshold weight factor solves under-segmentation and over-segmentation problem of human body infrared image.Results show our method outperforms classical methods in terms of segmentation effect and rate.

关键词： Fisher criterion pulse coupled neural network infrared human image segmentation

作者: Jiayuan Min Yi Chai

作者单位: College of Mechanical and Electrical Engineering Yangtze Normal University ChongQing, China School of Automation Chongqing University ChongQing, China

会议类型: 国际会议

会议名称: 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 1101-1105

在线出版日期: 2015-12-19（万方平台首次上网日期，不代表论文的发表时间）