Image detection
Random Processes - Basis and applications
Article REF: TE5222 V1
Image detection
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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