Balanced Monocular Cues in Digital Stereo Microscope Cameras
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Solution Overview
Problem
Digital stereo microscopes fail to effectively enhance binocular stereo vision by matching monocular cues in left and right eye views, leading to confusion, lack of visual clarity, and fatigue in observers due to incorrect presentation of depth information during surgical manipulations, as existing solutions do not adequately calibrate focus, contrast, specular intensity, and color temperature.
Innovation Solution
A camera system with a processor subsystem that evaluates and adjusts monocular image quality using subjective quality indices, adjusting focus, contrast, glare levels, lighting, and color temperature to balance monocular cues between the right and left camera systems, ensuring similar parameters for improved depth perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If monocular cues are adjusted to enhance binocular stereo vision, then depth perception accuracy is improved, but device complexity increases due to multiple camera parameters requiring calibration
Solution Approach 1:
The system changes multiple camera parameters (focus, contrast, lighting levels, color temperature, zoom, glare levels) to balance monocular cues between left and right cameras. This resolves the contradiction by systematically adjusting parameters to improve depth perception while managing the complexity through automated calibration processes.
Solution Approach 2:
The system uses feedback mechanisms to evaluate image quality metrics (sharpness, contrast, brightness, color accuracy) and automatically adjusts camera parameters to balance monocular cues. This feedback loop improves depth perception accuracy while reducing the perceived complexity through automation.
2Reliability
If multiple camera parameters are calibrated to balance monocular cues, then visual clarity is improved, but time consumption increases during setup and adjustment
Solution Approach 1:
The system performs preliminary automated calibration of multiple camera parameters (focus, contrast, lighting, color temperature) before actual use. This preliminary action ensures visual clarity is optimized in advance, reducing the time needed for manual adjustment during surgical procedures.
Solution Approach 2:
The camera system performs self-calibration by automatically evaluating image quality metrics and adjusting parameters to balance monocular cues. This self-service capability improves visual clarity while minimizing the time investment required from operators.
3Ease of operation
If monocular cues are balanced between left and right cameras, then observer fatigue is reduced, but manufacturing precision requirements increase for camera parameter matching
Solution Approach 1:
The system replaces manual mechanical adjustment of camera parameters with automated electronic control and software-based calibration. This substitution reduces the need for high manufacturing precision in mechanical components while achieving accurate parameter matching through digital control, thereby reducing observer fatigue.
Solution Approach 2:
The system uses precise parameter control and adjustment capabilities to balance monocular cues (focus, contrast, lighting, color temperature) between cameras. This precise parameter management improves observer comfort while the automated system handles the precision requirements, reducing the burden on manufacturing tolerances.
Data Source
AI summary
A system that balances monocular image quality of images of a digital stereo microscope includes a camera subsystem comprising a right camera system and s left camera system which obtains images; and a processor subsystem which generates control commands to the camera subsystem, wherein the processor subsystem uses subjective quality stored in a personalization system for the control commands.