Research on image recognition method for misalignment of gates in large ship locks

Abstract

The misalignment detection scheme for the miter gate of a large ship lock using image recognition technology was discussed. High-definition image acquisition equipment was used. Real-time detection of gaps and dislocations in the miter gate was achieved through pre-processing, feature extraction, and SVM classifier training. Field prototype testing and error analysis have demonstrated the practicality and effectiveness of the scheme, meeting the practical application requirements of ship locks.

Keywords

gate joint dislocation detection / graying / subpixel iteration / attitude evaluation