Automatic Alignment of Ring-Grid Laser Images based on an Improved Classical Iterative Algorithm

Abstract

Real-time simulation of ring-grid laser images using the conventional method has several drawbacks, including weak edge fitting, poor clarity, low image recognition rates, uneven brightness distribution, and significant ring-grid laser image interference from the surrounding environment. In this research, we develop the diagonalizable and readily invertible Hessian matrix, offer an enhanced Newton projection iteration algorithm, and use the degenerate gradient magnitude as the constraint set. We also develop a real-time re-illumination model appropriate for modeling ring-grid laser maps and suggest a method for simulating ring-grid laser maps based on it. The simulations demonstrate that the suggested method successfully matches ring-grid laser pictures in real time with little relative error and deviation, a high signal-to-noise ratio, and pleasing aesthetic effects.