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基于多通道信息融合的激光扫描共聚焦显微镜图像分割*
引用本文:何磊,张素,肖昌炎,陈亚珠. 基于多通道信息融合的激光扫描共聚焦显微镜图像分割*[J]. 计算机应用研究, 2006, 23(12): 316-318
作者姓名:何磊  张素  肖昌炎  陈亚珠
作者单位:1. 上海交通大学,生物医学工程系,上海,200030
2. 湖南大学,电气与信息工程学院,湖南,长沙,410082
基金项目:国家重点基础研究发展计划(973计划);教育部重点实验室基金
摘    要:针对LSCM多通道成像的特点,提出一种将可见光通道图像统计信息作为先验知识的通道信息融合分割荧光通道图像的方法。该方法在LSCM图像上进行测试,并与ChanVese方法进行比较。

关 键 词:荧光通道  可见光通道  信息融合  C-V模型
文章编号:1001-3695(2006)12-0316-03
收稿时间:2005-06-28
修稿时间:2005-06-282006-01-23

Segmentation of LSCM Images Based on Multi channel Information Fusion
HE Lei,ZHANG Su,XIAO Chang yan,CHEN Ya zhu. Segmentation of LSCM Images Based on Multi channel Information Fusion[J]. Application Research of Computers, 2006, 23(12): 316-318
Authors:HE Lei  ZHANG Su  XIAO Chang yan  CHEN Ya zhu
Affiliation:(1.Dept. of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200030, China;2. College of Electric & Information, Hunan University, Changsha Hunan 410082, China)
Abstract:A new and integrated approach is proposed to segment images in the fluorescent light channel of LSCM, which have rather low SNR and can not provide suffieiently high intensity gradient at the boundary. Rather than relying on information of the image in the fluorescent light channel alone, statistical information of corresponding image in the visible light channel is also utilized as priori knowledge. The approach is tested on LSCM images and experimental results are compared with results of C-V model.
Keywords:LSCM
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