Accurate statistical tests for smooth classification images
Accurate statistical tests for smooth classification images
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DOI：
10.1167/5.9.1
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发表时间：
2005-01-01
影响因子：
1.8
通讯作者：
Gosselin, F
中科院分区：
文献类型：
--
作者：
Chauvin, A;Worsley, KJ;Gosselin, F
尽管对各种适合分类图像的统计检验有明显的需求，但很少有人提出。我们认为基于随机场理论（RFT）的两种统计检验满足了对平滑分类图像的需求。我们在F. Gosselin和P. G. Schyns（2001）以及A. B. Sekuler， C. M. Gaspar， J. M. Gold和P. J. Bennett（2004）的代表性文献分类图像上说明了这些测试。使用Stat4Ci Matlab工具箱执行必要的计算。
Despite an obvious demand for a variety of statistical tests adapted to classification images, few have been proposed. We argue that two statistical tests based on random field theory (RFT) satisfy this need for smooth classification images. We illustrate these tests on classification images representative of the literature from F. Gosselin and P. G. Schyns ( 2001) and from A. B. Sekuler, C. M. Gaspar, J. M. Gold, and P. J. Bennett ( 2004). The necessary computations are performed using the Stat4Ci Matlab toolbox.