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@@ -10,7 +10,7 @@ H & E ([hematoxylin](https://en.wikipedia.org/wiki/Haematoxylin) and [eosin](htt
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Structure Preserving Color Normalization is a technique described in [Vahadane et al., 2016](https://doi.org/10.1109/TMI.2016.2529665) and modified in [Ramakrishnan et al., 2019](https://arxiv.org/abs/1901.03088). The idea is to model the color of an image pixel as something close to pure white, which is reduced in intensity in a color-specific way via an optical absorption model that depends upon the amounts of hematoxylin and eosin that are present. [Non-negative matrix factorization](https://en.wikipedia.org/wiki/Non-negative_matrix_factorization) is used on each analyzed image to simultaneously derive the amount of hematoxylin and eosin stain at each pixel and the image-wide effective colors of each stain.
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The implementation in ITK accelerates the non-negative matrix factorization by choosing the initial estimate for the color absorption characteristics using a technique mimicking that presented in [Arora et al., 2013](http://proceedings.mlr.press/v28/arora13.html) and modified in [Newberg et al., 2018](https://doi.org/10.1371/journal.pone.0193067). This approach finds a good solution for a non-negative matrix factorization by first transforming it to the problem of finding a convex hull for a set of points in a cloud.
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The implementation in ITK accelerates the non-negative matrix factorization by choosing the initial estimate for the color absorption characteristics using a technique mimicking that presented in [Arora et al., 2013](https://proceedings.mlr.press/v28/arora13.html) and modified in [Newberg et al., 2018](https://doi.org/10.1371/journal.pone.0193067). This approach finds a good solution for a non-negative matrix factorization by first transforming it to the problem of finding a convex hull for a set of points in a cloud.
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The lead developer of InsightSoftwareConsortium/ITKColorNormalization is [Lee Newberg](https://github.com/Leengit/).
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