Morphological Algorithms For The Analysis Of Pavement Structure

Abstract

The applicability of morphological image processing techniques for the description of condition and analysis of pavement surfaces is examined. Morphological techniques can be used in the measurement of pavement media consisting of grain (aggregates) and binding substances (bituminous or Portland cement mixtures). Measurements of size and size distributions on surface features related to texture and distresses can be obtained via morphological opening and closing transformations and distributions. When correlated with actual physical measurements of such quantities, the presented morphological measures of size and size distributions may prove to be useful in characterizing the surface condition of both asphalt and concrete pavement structures. INTRODUCTIONMathematical morphology (Serra, 1982) is a theory of image analysis which has its roots in applications involving the properties of materials, e.g., metalurgy ) and geology . The present study represents an initial effort to apply morphological operations in processing images of pavement surfaces, with the goal of relating various morphological measures to the analysis and characterization of the condition of pavement structures. SCOPE OF PRESENT RESEARCH The GoalThe broad goal of the present research is to develop an automated roadway condition data acquisition and analysis system. This goal is pursued in an effort towards the concurrent development of two distinct component systems, namely: (a) a surface vision system for roadway surface condition detection and image analysis, and (b) a condition evaluation system for the interpretation of the measurements derived from image processing and their correlation to physical parameters descriptive of the roadway surface condition.loads; (c) skid resistance, which measures the frictional capacity of a pavement surface ABSTRACT The applicability of morphological image processing techniques for the description of condition and analysis of pavement surfaces is examined. Morphological techniques can be used in the measurement of pavement media consisting of grain (aggregates) and binding substances (bituminous or Portland cement mixtures). Measurements of size and size distributions on surface features related to texture and distresses can be obtained via morphological opening and closing transformations and distributions. When correlated with actual physical measurements of such quantities, the presented morphological measures of size and size distributions may prove to be useful in characterizing the surface condition of both asphalt and concrete pavement structures.

A study of potential applications of automation and robotics technology in construction, maintenance and operation of highway systems:

“…define conceptual objects/schemas define program interfaces to GIS/CAD systems and to planning and scheduling components define functionality of the interactive graphical user interface 4. Implement basic site integration simulator prototype:…”

“…The development of a unified approach to handle different types of distresses under different conditions leads to a significant computational advantage. Finally, the current approach is capable of performing well on a number of different pavement surfaces, including those that exhibit extensive texture [2,4] . Unlike other existing approaches, the current algorithm utilizes texture information and, therefore, is more robust in the presence of pavement texture.…”

“…Application of water and/or other agents as needed. [4] Monitoring the flow of supplied concrete to ensure proper volume.…”

“…Here, different control principles and sensing technologies are proposed. Vaha studied and established a kinematic and dynamic control model for a robotic excavator [4]. Bullock and Oppenheim developed an approach for force-cognitive robotic excavation [5].…”

“…To a great extent, this evaluation will be based on results obtained from previous efforts, such as the DoD Joint Paint Removal Study. 4. Develop Shroud Subsystem: The shroud subsystem is considered to be the highest risk element in this project.…”