PoliBrush – A user-friendly software to aid multivariate image analysis dissemination

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS(2023)

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摘要
PoliBrush is a freely distributed, stand-alone software designed for teaching exploratory multivariate analysis in the frame of color RGB and spectral imaging. PoliBrush implements principal component analysis (PCA) as its core method. It features a single main window that provides users with essential tools for spectral image preprocessing and exploration. The software emphasizes an interactive brushing approach, enabling users to gain a comprehensive understanding of the relationships between PCA score space and image pixel space.In the present paper, PoliBrush usage and its operational procedure is demonstrated through two case studies, which are also available for download. The software has already been successfully used in various educational settings and workshops on multivariate approaches for spectral imaging, proving its effectiveness in teaching key concepts. With this original software publication, our aim is to make these tools also accessible to both experienced and novice image analysts.
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关键词
PoliBrush,Hyperspectral image analysis,Image analysis,Brushing,Score plot,Principal component analysis
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