Research on Intelligent System of Complex Structured Light Three-Dimensional Measurement Based on Machine Vision

This system integrates complex structured light projection and machine vision imaging technology to achieve efficient and accurate measurement of three-dimensional structures. In order to deal with the high computational load and error problems of traditional methods in data processing, this paper designs an image processing solution based on compressed sensing algorithm. By means of compressed sensing technology, the quantity of data is effectively decreased during the process of image collection and data reconstruction, thus remarkably lessening the computational load. This approach not only streamlines the data-processing procedure but also enhances the measurement precision of the system on complex surfaces, allowing the system to attain a better equilibrium between real-time performance and accuracy. To confirm the performance and superiority of the algorithm, this paper builds multiple test models in a simulation environment and comprehensively assesses the impact of the compressed sensing algorithm by contrasting the measurement results under different structured light modes. The experimental outcomes demonstrate that in comparison with the traditional method, the proposed algorithm exhibits remarkable advantages in handling complex curved surfaces and unevenly reflecting surfaces. It can keep low inaccuracies while guaranteeing high precision and has strong sturdiness against external interference. Specific data show that the measurement error of the system under complex surface conditions is controlled within 0.05 mm, meeting the needs of high-precision measurement.