Computer vision models have been proven to be productive as well as effective for concrete crack detection. This study develops an alternative model based on image edge detection, projection integral, and logistic regression approaches for recognizing and categorizing cracks on concrete surface. The integrated model has been developed using Visual C#.NET and tested with 200 real-world image samples. Experimental results point out that the new model has attained a good predictive performance with a classification accuracy of . |
