Automatic Recognition of No Entry Signs and No Parking Signs

This program automatically recognizes No Entry signs and No Temporary/Long-term Vehicle Parking signs on roads, featuring a MATLAB-developed graphical user interface. The implementation follows a structured computer vision pipeline: starting with template training where reference sign templates are processed using image preprocessing techniques, followed by image importation where input images undergo normalization and enhancement. Parameter training utilizes machine learning algorithms to optimize detection thresholds and feature matching parameters. The recognition phase employs template matching algorithms with cross-correlation methods to identify target signs in input images. The system's performance can be enhanced by incorporating additional training samples and optimizing the recognition algorithms through techniques like histogram equalization and edge detection improvements. Recognition results can be stored in databases or log files using MATLAB's database connectivity tools for subsequent analysis and processing. The program maintains flexibility for customization and extension, allowing integration of new sign types through additional template libraries or improved recognition algorithms using advanced pattern matching techniques. Through continuous refinement and optimization involving parameter tuning and algorithm updates, the system can achieve higher intelligence and operational efficiency.