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Crack Detection through Incorporation of Depth Perception


Inspired by human vision, where depth perception allows a person to estimate an object's size based on its distance to the object, we have introduced the integration of depth perception into image-based crack detection algorithms. This approach has improved the performances of crack detection and quantification systems. Whereas other proposed crack detection techniques used fixed parameters, this system utilizes depth perception to detect cracks. This feature is more practical for field applications where the camera-object distance cannot be controlled such as when unmanned aerial vehicles are used for data collection.



Crack Quantification



Related Publication


Mohammad R. Jahanshahi and Sami F. Masri, (2012), "Adaptive vision-based crack detection using 3D scene reconstruction for condition assessment of structures," Automation in Construction, Vol. 22, March 2012, 567-576.




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