CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
fMRI时间序列图像的配准测度及其相关优化方法
Authors
唐一源
孙少燕
李斌
Publication date
1 January 2004
Publisher
Abstract
随着脑功能成像技术的迅速发展,人们对fMRI时间序列图像的配准问题也越来越重视.通过配准测度的建立,图像的配准问题最终被归结为数学上的多参数优化问题.本文综述了目前较常用的配准方法,介绍了基于灰度值的图像配准的差值平方和测度与互信息、测度以及求解它们的优化方法:阻尼GaussNewton法、有记忆功能的模拟退火算法、改进的Powell算法和一类新的进化策略算法.这四种算法各有特点能有效地找到最佳配准参数,配准精度较高,且能收敛到全局最优点
Similar works
Full text
Available Versions
Institutional Repository of Institute of Psychology, Chinese Academy of Sciences
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:ir.psych.ac.cn:311026/3579...
Last time updated on 30/04/2021