Flexible Pavement Distress Evaluation Using Image Analysis

by Lan Li, Texas Transportation Inst, College Station, United States,
Paul Chan, Texas Transportation Inst, College Station, United States,
Ashok Rao, Texas Transportation Inst, College Station, United States,
Robert L. Lytton, Texas Transportation Inst, College Station, United States,



Document Type: Proceeding Paper

Part of: Applications of Advanced Technologies in Transportation Engineering

Abstract:

A unique combination of image histogram and projection histogram are employed to classify major distress types on flexible pavement. This technique has taken into account the presence of non-distress objects which include road markings, oil stains, and tire marks on the pavement surfaces. It has successfully separated the non-distress objects from crackings hence increasing the percent accuracy of the evaluation algorithm.

Subject Headings: Asphalt pavements | Pavement condition | Computer vision and image processing | Vehicle-pavement interaction | Algorithms | Project management | Pavements

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