Patent ID: 11928819
Assignee: LEICA MICROSYSTEMS CMS GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for approximating image data, comprising:
obtaining initial image data formed by imaging at least part of a sample;
analysing the initial image data to form one or more portions of image data, each portion of image data representing at least part of an object within the sample;
accessing a set of predefined stereotype elements;
determining one or more of the stereotype elements as a visual approximation for the at least one object within the sample, which the at least one of the portions of image data is representing;
selecting one or more of the determined stereotype elements to be associated with at least one object within the sample, which the at least one of the portions of image data is representing; and
forming instruction data based on and/or including the one or more selected stereotype elements, the instruction data including instructions on how to arrange the one or more selected stereotype elements,
wherein the determining of the visual approximation comprises:
checking whether a probability value, defining that a stereotype element corresponds to a portion of image data or an object it represents, is within a predefined probability threshold, and,
if no stereotype element is found, for which the probability value is within the predefined probability threshold, selecting a different set of stereotype elements.