Concrete Crack Image Recognition System Based on Bayesian Algorithm

Concrete crack detection is an important link in the construction of water conservancy projects, which has a significant impact on dam safety. Therefore, it is particularly important to study a fast, accurate and economical crack identification system. Bayesian algorithm is a probabilistic algorithm based on prior information, which has a high recognition accuracy. The article first preprocesses the concrete crack image, and then uses the Bayesian algorithm to identify cracks on the processed image. The system can realize real-time and automatic identification of concrete cracks, and can display the identification results through the human-computer interaction interface. The test results show that the highest recognition accuracy of the system can reach 91.6%. This method provides an effective solution for crack detection and monitoring. The high recognition accuracy achieved in the test further verifies the effectiveness of the system. Future research can focus on expanding the system's ability to handle more complex crack patterns and improving the efficiency of its large-scale applications.