Context-sensitive white balancing for surgical microscopes

A white balancing system for context-sensitive white balancing for a stereomicroscope, the white balancing system comprising:

• a first camera in a first optical path of the stereomicroscope for recording a first digital image;
• a second camera in a second optical path of the stereomicroscope for recording a second digital image;
• a context determining unit adapted for determining, by means of a trained machine learning system, the context identified in the images;
• and
• a parameter determining unit for determining, by means of the trained machine learning system, camera parameters suitable for controlling color channels of the first and second cameras for white balancing,
• wherein the machine learning system is represented by a network comprising a first pipeline and a second pipeline,
• wherein the first pipeline performs a processing of the first digital image and wherein the second pipeline performs a processing of the second digital image,
• wherein the first pipeline is trained to determine the identified context of the first digital image, and
• wherein the second pipeline is trained to determine the identified context of the second digital image independently of the identified context of the first image.