Method, system and trained model for image optimization for endoscopes

Abstract

A method and a control system for image analysis and optimization of at least one image acquired at the distal end of an endoscope includes the following steps: acquiring image data by means of an image acquisition device of an endoscope; receiving the image data by a control unit, pre-analyzing at least a subset of the image data of one or more consecutive images by a control unit to determine at least one image structure; determining a quality value by means of a training data-based, preferably self-learning, module by comparing the at least one determined image structure with image structures of a reference database stored in a memory unit, and on the basis of the determined quality value, manually or automatically outputting control instructions from the control unit to a unit for activating image optimization.

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