Precision compensation method for visual measurement based on nonuniform refractive index field reconstruction

Area of Science:

• Optical Engineering
• Metrology
• Industrial Manufacturing

Background:

• Visual measurement is crucial in industrial manufacturing and assembly.
• Inhomogeneous refractive index fields in the measurement environment cause significant errors in transmitted light.
• Existing methods lack effective compensation for refractive index variations.

Purpose of the Study:

• To develop and validate a novel method for compensating visual measurement errors.
• To address errors stemming from nonuniform refractive index fields.
• To enhance the accuracy of binocular visual measurements in challenging environments.

Main Methods:

• Employed a binocular camera system for visual measurements.
• Reconstructed the nonuniform refractive index field using the schlieren method.
• Reduced the inverse ray path errors via the Runge-Kutta method for compensation.

Main Results:

• Successfully reconstructed the nonuniform refractive index field.
• Implemented ray path reduction to correct optical distortions.
• Achieved a significant reduction in measurement error by approximately 60% in the experimental environment.

Conclusions:

• The proposed method effectively compensates for visual measurement errors caused by refractive index inhomogeneity.
• The integration of schlieren imaging and Runge-Kutta integration offers a robust solution for metrology challenges.
• Experimental validation confirms the practical applicability and high accuracy improvement in industrial settings.