Periodic structural health survey is very crucial to guarantee the safety and serviceability of civil engineering structures. This study aims at developing a computer vision tool to detect defects on surface of civil engineering structures by means of Gaussian steerable filters. This tool has been developed with Visual C#. NET to facilitate its implementations. The developed software programs have been tested with images containing various defects such as crack, pothole, and spalling. |
