Article | REF: TE5222 V1

Random Processes - Basis and applications

Author: Michel PRENAT

Publication date: December 10, 2020 | Lire en français

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    5. Image detection

    Here, we will only consider cases where a random process representation of the image proves effective for the functions we wish to implement. This field is still wide: anomaly detection, classification, etc., and we will limit the presentation to the question of anomaly detection, taking into account the specificities of the image:

    • the "2D" nature of the image, which makes it impossible to find an order for the pixels that respects the notions of neighborhood (of the same dimension);

    • the Poissonian character of the photon flux ;

    • performance is limited by the presence of a background that comes from the scene and not from the camera's reception (BLIP).

    Let's clarify these three points.

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