Description: This example program shows you how to use the GMM classifier for novelty
detection to perform a web inspection task. To perform the novelty detection,
* all pixels belonging to the single trained class are computed, and are then
subtracted the classification ROI to extract the erroneous pixels. For
the web inspection task, the GMM can consequently be used to detect
textures that do not correspond to the texture of the trained good objects.
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File list (Check if you may need any files):
novelty_detection_gmm.hdev
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