Article

Using the Quantization Error from Self-Organizing Map (SOM) Output for Fast Detection of Critical Variations in Image Time Series

2018-03-20

Abstract excerpt

The quantization error (QE) from Self-Organizing Map (SOM) output after learning is exploited in this studies. SOM learning is applied on time series of spatial contrast images with variable relative amount of white and dark pixel contents, as in monochromatic medical images or satellite images. It is proven that the QE from the SOM output after learning provides a reliable indicator of potentially critical change...

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Literature Corpus work: abd75613-94a7-53a5-b81d-39fd443389bf
DOI: 10.20944/preprints201710.0166.v2

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