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eyes:logics:pcatransform [2017/06/12 16:41] flambre [Modes/Processes] |
eyes:logics:pcatransform [2017/06/12 19:11] (current) jschlie1 |
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| - | ====== PCA Transform ====== | + | ====== PCATransform ====== |
| This logic uses the result of the PCA logic (the eigenvectors) to transform images into a new space spanned by these eigenvectors. I.e. Images can be represented as factors of eigenvectors, a so called linear combination. | This logic uses the result of the PCA logic (the eigenvectors) to transform images into a new space spanned by these eigenvectors. I.e. Images can be represented as factors of eigenvectors, a so called linear combination. | ||
| ===== Usage ===== | ===== Usage ===== | ||
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| ===== Concept ===== | ===== Concept ===== | ||
| - | In this paragraph, the "HOW a logic works under the hood" and WHY someone should use it can be elaborated with higher detail. Describes a scenario in an image processing workflow where this logic can be used to solve the resulting problem. Also, wikipages, publications or anything else describing the theory behind an algorithm should be linked here, if applicable. | + | Based on the eigenvectors calculated by PCA, this logic calculates linear factors or vice versa calculates "raw" images or volumes by using linear factors and the eigenvectors. However, by simply choosing low numbers of eigenvectors filtering through [[https://en.wikipedia.org/wiki/Dimensionality_reduction|Dimensionality reduction]] can be done. |