Study of a Robust Algorithm Applied in the Optimal Position Tuning for the Camera Lens in Automated Visual Inspection Systems
This work addresses a domain-specific issue for automated visual inspection systems, offering incremental improvements in lens positioning.
The paper tackles the problem of finding the optimal camera lens position for maximum detail in automated visual inspection systems, presenting an algorithm based on a resolution function that evaluates gradient maxima and providing experimental results and practical rules for its application.
This paper present the mathematical fundaments and experimental study of an algorithm used to find the optimal position for the camera lens to obtain a maximum of details. This information can be further applied to a appropriate system to automatically correct this position. The algorithm is based on the evaluation of a so called resolution function who calculates the maximum of gradient in a certain zone of the image. The paper also presents alternative forms of the function, results of measurements and set up a set of practical rules for the right application of the algorithm.