Image analysis in chemistry II. Multivariate image analysis
| Autor: | Kim H. Esbensen, Paul Geladi, Ewert Bengtsson, Hans Grahn |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
Multivariate statistics
Data processing Multivariate analysis business.industry Univariate Pattern recognition Regression Analytical Chemistry Visualization Digital image ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION Principal component analysis Artificial intelligence business Spectroscopy |
| Zdroj: | TrAC Trends in Analytical Chemistry. 11:121-130 |
| ISSN: | 0165-9936 |
| DOI: | 10.1016/0165-9936(92)85010-3 |
| Popis: | Part I [Trends Anal. Chem., 11 (1992) 41] focused on the generation of univariate digital images in the chemical laboratory and in industrial situations and on the possible use of operations on univariate images. The concept of a multivariate image was introduced and an example given. This part focuses on the use of multivariate methods to extract problem-dependent, useful information from multivariate images. The example of the powder mixtures given in Part I is further analyzed by principal component analysis. Concepts of exploratory analysis, classification and regression are explained. The use of visual interpretation and statistical diagnostics is emphasized. Ideas about future developments of multivariate image analysis are introduced. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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