Device and computer implemented method for processing a digital image for anomaly or normality detection

A computer implemented method for processing a digital image for anomaly or normality detection, the method comprising the following steps:

• providing the digital image;
• determining, depending on the digital image, a geometric relationship between objects depicted in the digital image;
• providing knowledge about normal and/or abnormal geometric relationships between objects;
• determining, depending on the geometric relationship between the objects and the knowledge, a likelihood indicating a normal or an abnormal geometric relation between objects in the digital image;
• and
• detecting an anomaly or a normality depending on the likelihood.

A device for processing a digital image for anomaly or normality detection, comprising:

• at least one processor;
• and
• at least one memory, wherein the at least one processor is configured to execute instructions that, when executed by the at least one processor cause the device to perform a method for processing a digital image for anomaly or normality detection, the method including the following steps:
• providing the digital image,
• determining, depending on the digital image, a geometric relationship between objects depicted in the digital image,
• providing knowledge about normal and/or abnormal geometric relationships between objects,
• determining, depending on the geometric relationship between the objects and the knowledge, a likelihood indicating a normal or an abnormal geometric relation between objects in the digital image, and
• detecting an anomaly or a normality depending on the likelihood;
• and
• wherein the at least one memory is configured to store the instructions

A non-transitory computer-readable medium on which is stored a computer program for processing a digital image for anomaly or normality detection, the computer program, when executed by at least one processor, causing the at least one processor to perform the following steps:

• providing the digital image;
• determining, depending on the digital image, a geometric relationship between objects depicted in the digital image;
• providing knowledge about normal and/or abnormal geometric relationships between objects;
• determining, depending on the geometric relationship between the objects and the knowledge, a likelihood indicating a normal or an abnormal geometric relation between objects in the digital image;
• and
• detecting an anomaly or a normality depending on the likelihood.